Applying Context-awared Networks in Labor Safety of Manufacturing Industry

碩士 === 中國文化大學 === 資訊管理研究所碩士在職專班 === 96 === Life is precious. Every labor occupational disaster usually causes a great loss of business, a broken family and many regrets. It also creates a huge burden on society. In occupational disaster statistics of 2005, announced by Executive Yuan Labor Committe...

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Main Authors: Chien-Liang Tu, 杜建樑
Other Authors: Dwen–Ren Tsai
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/84933830197466379048
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spelling ndltd-TW-096PCCU13960142017-04-15T05:06:33Z http://ndltd.ncl.edu.tw/handle/84933830197466379048 Applying Context-awared Networks in Labor Safety of Manufacturing Industry 環境感知網路於製造業勞工安全之應用 Chien-Liang Tu 杜建樑 碩士 中國文化大學 資訊管理研究所碩士在職專班 96 Life is precious. Every labor occupational disaster usually causes a great loss of business, a broken family and many regrets. It also creates a huge burden on society. In occupational disaster statistics of 2005, announced by Executive Yuan Labor Committee in July 2006, 37348 accidents were reported, resulting in 135 deaths, 15 permanent disables and 280 permanent partial disables. These caused many broken families and irreparable regrets. Many lives could be saved, if protection measures were well prepared in advance, or when an accident occurs, situations could be handled and reacted quickly. In recent years, the ubiquitous network has become a hot research topic. This study proposes to use radio frequency identification(RFID) technology and monitoring equipments designing a context aware system architecture, which uses environmental data and personal information collected and passed by various sensors in the field actively issuing alerts to prevent occurrence or reduce the probability of industrial disasters and damages. The results of this study can be applied to other factories and dangerous working environments in manufacturing industry for building an industrial accident early warning system. Dwen–Ren Tsai 蔡敦仁 2008 學位論文 ; thesis 65 zh-TW
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description 碩士 === 中國文化大學 === 資訊管理研究所碩士在職專班 === 96 === Life is precious. Every labor occupational disaster usually causes a great loss of business, a broken family and many regrets. It also creates a huge burden on society. In occupational disaster statistics of 2005, announced by Executive Yuan Labor Committee in July 2006, 37348 accidents were reported, resulting in 135 deaths, 15 permanent disables and 280 permanent partial disables. These caused many broken families and irreparable regrets. Many lives could be saved, if protection measures were well prepared in advance, or when an accident occurs, situations could be handled and reacted quickly. In recent years, the ubiquitous network has become a hot research topic. This study proposes to use radio frequency identification(RFID) technology and monitoring equipments designing a context aware system architecture, which uses environmental data and personal information collected and passed by various sensors in the field actively issuing alerts to prevent occurrence or reduce the probability of industrial disasters and damages. The results of this study can be applied to other factories and dangerous working environments in manufacturing industry for building an industrial accident early warning system.
author2 Dwen–Ren Tsai
author_facet Dwen–Ren Tsai
Chien-Liang Tu
杜建樑
author Chien-Liang Tu
杜建樑
spellingShingle Chien-Liang Tu
杜建樑
Applying Context-awared Networks in Labor Safety of Manufacturing Industry
author_sort Chien-Liang Tu
title Applying Context-awared Networks in Labor Safety of Manufacturing Industry
title_short Applying Context-awared Networks in Labor Safety of Manufacturing Industry
title_full Applying Context-awared Networks in Labor Safety of Manufacturing Industry
title_fullStr Applying Context-awared Networks in Labor Safety of Manufacturing Industry
title_full_unstemmed Applying Context-awared Networks in Labor Safety of Manufacturing Industry
title_sort applying context-awared networks in labor safety of manufacturing industry
publishDate 2008
url http://ndltd.ncl.edu.tw/handle/84933830197466379048
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