本文關(guān)鍵詞：虹膜識別技術(shù)在施工升降機(jī)監(jiān)控中的應(yīng)用　出處：《湖北工業(yè)大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 虹膜 虹膜識別技術(shù) 虹膜技術(shù) 施工升降機(jī) 安全監(jiān)控

【摘要】：隨著近年來建筑業(yè)的高速發(fā)展,施工現(xiàn)場機(jī)械化程度越來越高,建筑施工升降機(jī)在建筑施工中得到越來越廣泛的應(yīng)用。施工升降機(jī)操作工人在建筑施工特種作業(yè)人員群體中,屬于文化程度最低,人員素質(zhì)最差的群體之一。這個群體有著他們的特殊性,只通過日常教育培訓(xùn)或者是班前技術(shù)交底讓他們按要求來進(jìn)行操作,未必能收到預(yù)期的效果,也不夠現(xiàn)實。目前,我們的處于一個高度信息化社會,利用生物信息確認(rèn),已經(jīng)漸漸成為未來發(fā)展新方向。采用對比分析方式可以了解到,虹膜具備卓越的生物特征,擁有高健壯屬性與高持久屬性,主要體現(xiàn)在以下層面,包括唯一性特點、穩(wěn)定性特點、非侵犯性特點,以及防偽性特點等。同時,虹膜識別技術(shù)在生物特征識別中具有最佳的精確度。所以,借助于虹膜信息特征進(jìn)行施工升降設(shè)施的身份識別,存在分析的價值。若以工作者為視角分析,在作業(yè)中沒有增加復(fù)雜度,僅是要在未啟動設(shè)備前進(jìn)行身份核實,若以管理者為視角探討,此項舉措能夠帶來更高的安全性能與穩(wěn)健性能。本文的研究對象是利用虹膜識別技術(shù)組建成施工升降機(jī)安全監(jiān)控系統(tǒng),對施工升降機(jī)的日常運作、安裝拆卸、維護(hù)保養(yǎng)及運行警報等方面進(jìn)行安全監(jiān)控。通過剖析本系統(tǒng)的運作原理,如何利用操作人員的虹膜信息,實現(xiàn)對施工升降機(jī)進(jìn)行實時監(jiān)控、遠(yuǎn)程監(jiān)控、實時警報等功能,從而起到對施工升降機(jī)及時有效的安全監(jiān)管,降低施工升降機(jī)的安全事故。同時,通過虹膜識別技術(shù)在億佳商業(yè)中心施工升降機(jī)監(jiān)控的應(yīng)用實例,闡述施工升降機(jī)日常、安裝及封頂后施工升降機(jī)安全監(jiān)控系統(tǒng)的操作,從而得出施工升降機(jī)安全監(jiān)控系統(tǒng)在使用過程中的效果及啟示。降低施工升降機(jī)的安全事故、保證施工升降機(jī)的安全正常運作,為建筑施工現(xiàn)場的安全管理提供一道重要的保障,這不僅是關(guān)乎一個建筑市場的安全保障,還關(guān)乎著千萬個建筑施工從業(yè)人員及家庭生命財產(chǎn)安全的保障。
[Abstract]:With the rapid development of the construction industry in recent years, the degree of construction site mechanization is becoming higher and higher. The construction hoist is more and more widely used in the construction. The workers of the construction hoist are the least educated among the special construction workers. One of the worst quality groups. This group has their particularity, only through daily education and training or pre-class skills to enable them to operate as required, may not be able to achieve the desired results. At present, we are in a highly information society, the use of biological information confirmation, has gradually become a new direction of development in the future. Iris has excellent biological characteristics, high robust and high persistent attributes, mainly reflected in the following levels, including uniqueness, stability, non-invasive, and anti-counterfeiting characteristics. At the same time. Iris recognition technology has the best accuracy in biometric identification. Therefore, the identification of construction lifting facilities with the help of iris information features has the value of analysis. There is no added complexity in the job, but only to verify the identity before the device is started, if the manager is the perspective of the discussion. This measure can bring higher safety performance and robust performance. The research object of this paper is to use iris recognition technology to set up the construction elevator safety monitoring system, to the daily operation of the construction elevator, installation and removal. Through analyzing the operation principle of the system, how to use the iris information of the operator to realize the real-time monitoring and remote monitoring of the construction hoist. Real-time alarm and other functions, so as to play a timely and effective safety supervision of the construction hoist, reduce the safety accidents of the construction hoist. At the same time. Through the application of iris identification technology in the construction elevator monitoring of Yijia Commercial Center, this paper expounds the operation of the daily, installation and safety monitoring system of the construction lift after the installation and sealing of the roof. In order to obtain the construction elevator safety monitoring system in the use of the effect and enlightenment, reduce the safety of construction hoist accidents, to ensure the safe and normal operation of the construction lift. It provides an important guarantee for the safety management of construction site, which is not only related to the safety of a construction market, but also to the safety of thousands of construction workers and family life and property.
【學(xué)位授予單位】：湖北工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP391.41;TU61

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本文編號：1409537