An Improved Passive Optical Network for Real-Time Surveillance Technique

碩士 === 國立臺北科技大學 === 光電工程系所 === 95 === The purpose of this thesis is to improve the traditional passive optical network structure including the passive optical network and fault detecting technology. The traditional tree topology is unable to survive and discriminate the fault location immediately on...

Full description

Bibliographic Details
Main Authors: Nien-Lin Wu, 吳念霖
Other Authors: 何文章
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/u9n829
id ndltd-TW-095TIT05124011
record_format oai_dc
spelling ndltd-TW-095TIT051240112019-06-27T05:09:57Z http://ndltd.ncl.edu.tw/handle/u9n829 An Improved Passive Optical Network for Real-Time Surveillance Technique 改良式被動光網路的即時監控技術 Nien-Lin Wu 吳念霖 碩士 國立臺北科技大學 光電工程系所 95 The purpose of this thesis is to improve the traditional passive optical network structure including the passive optical network and fault detecting technology. The traditional tree topology is unable to survive and discriminate the fault location immediately once the optical path encounters a mistake while transmitting. Therefore, we utilize optical switch to switch over two routes P1 and P2 which are normal feeder fiber P1 and protecting fiber P2. Signal pass P1 and P2 and through 2X2 coupler, splitter, and 2X1 coupler into the drop fiber. Finally pass through WDM coupler and filter into ONU. The upstream signal is also transmitted in the same way. We can also utilize optical switch to switch over two routes P3 and P4 to monitor the feeder fiber and drop fiber, respectively. We have done the following experiment of improved passive optical network structure: (1) we compare the difference of the received optical power and optical spectrum of improved and traditional passive optical network structure. The optical power from our improved passive optical network structure is reduced because of the additional couplers loss (2X2 coupler and 2X1 coupler) and connector loss but the reduction is in our acceptance. Thus, the improved passive optical network can still provide the structure for fault detecting. (2) We use OTDR to monitor the fault locations which are feeder fiber bending, or connector of drop fiber loosing, or optical passive component failure. The received optical power, eye diagram, and optical spectrum are showing the fault occurrence. OTDR traces are indicating the fault locations. The results of our experiment tell the fault locations accurately which provide the functions of monitoring and restoring. Our improved passive optical network structure not only has the survival ability which is lack in the traditional passive optical network but also benefit from the loss reduction resulting from the break or bending of the optical path. 何文章 2007 學位論文 ; thesis 78 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺北科技大學 === 光電工程系所 === 95 === The purpose of this thesis is to improve the traditional passive optical network structure including the passive optical network and fault detecting technology. The traditional tree topology is unable to survive and discriminate the fault location immediately once the optical path encounters a mistake while transmitting. Therefore, we utilize optical switch to switch over two routes P1 and P2 which are normal feeder fiber P1 and protecting fiber P2. Signal pass P1 and P2 and through 2X2 coupler, splitter, and 2X1 coupler into the drop fiber. Finally pass through WDM coupler and filter into ONU. The upstream signal is also transmitted in the same way. We can also utilize optical switch to switch over two routes P3 and P4 to monitor the feeder fiber and drop fiber, respectively. We have done the following experiment of improved passive optical network structure: (1) we compare the difference of the received optical power and optical spectrum of improved and traditional passive optical network structure. The optical power from our improved passive optical network structure is reduced because of the additional couplers loss (2X2 coupler and 2X1 coupler) and connector loss but the reduction is in our acceptance. Thus, the improved passive optical network can still provide the structure for fault detecting. (2) We use OTDR to monitor the fault locations which are feeder fiber bending, or connector of drop fiber loosing, or optical passive component failure. The received optical power, eye diagram, and optical spectrum are showing the fault occurrence. OTDR traces are indicating the fault locations. The results of our experiment tell the fault locations accurately which provide the functions of monitoring and restoring. Our improved passive optical network structure not only has the survival ability which is lack in the traditional passive optical network but also benefit from the loss reduction resulting from the break or bending of the optical path.
author2 何文章
author_facet 何文章
Nien-Lin Wu
吳念霖
author Nien-Lin Wu
吳念霖
spellingShingle Nien-Lin Wu
吳念霖
An Improved Passive Optical Network for Real-Time Surveillance Technique
author_sort Nien-Lin Wu
title An Improved Passive Optical Network for Real-Time Surveillance Technique
title_short An Improved Passive Optical Network for Real-Time Surveillance Technique
title_full An Improved Passive Optical Network for Real-Time Surveillance Technique
title_fullStr An Improved Passive Optical Network for Real-Time Surveillance Technique
title_full_unstemmed An Improved Passive Optical Network for Real-Time Surveillance Technique
title_sort improved passive optical network for real-time surveillance technique
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/u9n829
work_keys_str_mv AT nienlinwu animprovedpassiveopticalnetworkforrealtimesurveillancetechnique
AT wúniànlín animprovedpassiveopticalnetworkforrealtimesurveillancetechnique
AT nienlinwu gǎiliángshìbèidòngguāngwǎnglùdejíshíjiānkòngjìshù
AT wúniànlín gǎiliángshìbèidòngguāngwǎnglùdejíshíjiānkòngjìshù
AT nienlinwu improvedpassiveopticalnetworkforrealtimesurveillancetechnique
AT wúniànlín improvedpassiveopticalnetworkforrealtimesurveillancetechnique
_version_ 1719210101069316096