Study on the Implementation of Power Monitoring System Using Wireless Digital Power Meters

碩士 === 國立臺北科技大學 === 電機工程系所 === 102 === In this thesis, a wireless power monitoring system is proposed by using wireless digital power meters, repeaters, gateways and monitoring server. When the monitoring environment influences the communication, the frequency hopping technique is used to reduce the...

Full description

Bibliographic Details
Main Authors: Feng-Yuan Liu, 劉逢源
Other Authors: 曹大鵬
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/s2kj9x
Description
Summary:碩士 === 國立臺北科技大學 === 電機工程系所 === 102 === In this thesis, a wireless power monitoring system is proposed by using wireless digital power meters, repeaters, gateways and monitoring server. When the monitoring environment influences the communication, the frequency hopping technique is used to reduce the interference. Moreover, the real time and long-term analysis can be done via the monitoring graphical user interface built on the server Wireless power meters mounted on the power sources measure the power signals and transmit the acquired data to the repeaters and then to the gateway. When the server of the monitoring system receives the data passed by the gateway, these measured data are processed and stored into a database in the form of designed schema. As a result, clients can use the graphical analysis tool to display the historical data and investigate detailed information. Also, to reduce the setup cost, the Floyd algorithm is used to find the data transmission route with the smallest number of repeaters. When communication channel is jammed, a frequency hopping solution is adopted to improve the successful transmission rate. Finally, the monitoring system proposed by this work is implemented in the field and performs long-term monitoring to examine the reliability. From the monitored data and analyzed results, it indicates that the proposed system has the ability to on-line and long-term monitors the power sources. It is also found that the acquired power signal parameters can be used to carry out the power-saving analysis