English  |  正體中文  |  简体中文  |  Items with full text/Total items : 78111/78111 (100%)
Visitors : 30647147      Online Users : 220
RC Version 7.0 © 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: http://ir.lib.ncu.edu.tw/handle/987654321/90717

    Title: 以熱影像機器視覺為基礎之太陽能光電模組回收分選系統;Solar photovoltaic module recycling and sorting system based on thermal imaging machine vision
    Authors: 卓憲和;Cho, Hsien-Ho
    Contributors: 光機電工程研究所
    Keywords: 熱影像機器視覺;太陽能光電模組回收;分選系統;thermal image machine vision technology;solar photovoltaic module recycling;sorting system
    Date: 2022-12-28
    Issue Date: 2023-05-09 17:28:48 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 由於全球環保節能減碳的思維逐漸備受重視,使得太陽能光電產業之興起。近幾年政府當局以綠能及非核家園作為施政重點,推動能源轉型計畫,並積極投入太陽能發電之相關基礎建設,因此太陽能光電產業的永續經營及未來發展被各界重視。隨著太陽能光電產業市場需求漸增,勢必產生大量太陽能光電模組廢棄物,而這些廢棄物若不妥善處理並加以回收,將對環境造成影響。因此,多數廠商除了開發回收模組的技術,也研究如何提升這些廢棄材料回收後的應用價值,形成商業模式的可行性。
    ;In recent years, all around the world have attached great importance to sustainable development and environmental protection. Therefore, the subject of waste recycling is extremely important. The waste to be recycled in this study is solar photovoltaic modules. According to the International Renewable Energy Agency′s forecast model, the global waste solar panel will reach 910 million metric tons from now to 2050. In this study, a solar photovoltaic module recycling and sorting system based on thermal image machine vision was designed. Integrate the difference of heat absorption and exotherm of the materials to be sorted with thermal imaging technology, complete the identification of solar module materials after thermal cracking, and develop the external force of sorting technology to effectively select and classify silicon substrates and glass, so as to achieve the purpose of sorting.
    Based on thermal image machine vision technology, a solar photovoltaic module recycling and sorting system was developed. After adjusting the parameters for several times, the measured sorting accuracy can reach up to 90%. In terms of vision, the device can more clearly determine the glass position through machine vision, which is more convenient and more accurate than human eye recognition. In the future, it is hoped that this prototype can be enlarged, and the optical sorting method can be used in practice.
    Appears in Collections:[光機電工程研究所 ] 博碩士論文

    Files in This Item:

    File Description SizeFormat

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

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明