ASIA unversity:Item 310904400/107821
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90451/105768 (86%)
Visitors : 11141577      Online Users : 581
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version

    Please use this identifier to cite or link to this item:

    Title: Power Quality Inspection and Construction of Internet of Things
    Authors: CHEN, HAO-YUAN
    Contributors: 資訊工程學系
    Keywords: Power Quality;Arduino;Discrete Fourier series;Fast Fourier Transform
    Date: 2017
    Issue Date: 2017-09-18 11:22:23 (UTC+8)
    Abstract: The purpose of this paper is to establish a power quality inspection platform that allows users to understand the current status of electricity in real time. Firstly, Arduino is used as the data acquisition function to extract the mains power signal, and then the discrete Fourier series is used as the filtering model to extract the fundamental frequency signal in the power signal, and the frequency is calculated by the zero-crossing algorithm. Move situation. And the original data can be used to calculate rms value, as to determine whether there is power anomaly basis; fast Fourier transform can be applied to obtain signal spectrum distribution and amplitude ratio, which can analyze the power signal harmonic pollution situation, and calculate the total harmonic distortion. After the power signal is retrieved, the data will be sent to the database. The results of all kinds of power quality analysis will be saved. Users can observe the current power quality through the visual website. Because power events are less frequent in the general environment, this paper also uses simulate power anomaly signals to verify the functionality of the power detection platform, which proves that it is sufficient to display power quality information in general electricity.
    Appears in Collections:[Department of Computer Science and Information Engineering] Theses & dissertations

    Files in This Item:

    File Description SizeFormat

    All items in ASIAIR are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback