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A computer-based product classification and component detection for demanufacturing processes

机译：用于制造流程的基于计算机的产品分类和组件检测

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The aim of this paper is to propose a novel computer-based product classification, component detection and tracking for demanufacturing and disassembly process. This is achieved by introducing a series of automated and sequential product scanning, component identification, image analysis and sorting - leading to the development of a bill of material (BOM). The produced BOM can then be associated with the relevant disassembly/demanufacture proviso. The proposed integrated image sorting and product classification (ISPC) approach can be considered as a step forward in automation of demanufacturing activities. The ISPC model proposed in this paper utilises and builds on the state-of-the-art technology and current body of research in computer-integrated demanufacturing and remanufacturing (CIDR). An appraisal of the latest research material and the factors that inhibit CIDR methods inpractice are presented. A novel solution for the integration of imaging and material identification techniques toovercome some of the existing shortcomings of automated recycling processes is proposed in this paper. The proposed product scanning and component detection ISPC software consists of four distinct models: the repertory database, the search engine, the product-attributes updater and the image sorting and classification algorithm. The software framework that integrates the four components is presented in this paper. Finally, an overall assessment of applying ISPC at various stages of CIDR processes concludes the article.View full textDownload full textKeywordscomputer-integrated demanufacturing, disassembly processes, image sorting, product classification, software development, recycling technologies, sustainable manufactureRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/0951192X.2011.579169
机译：本文的目的是提出一种新颖的基于计算机的产品分类，组件检测和跟踪，以进行反制造和拆卸过程。这是通过引入一系列自动和顺序的产品扫描，组件识别，图像分析和分类来实现的，从而导致了物料清单（BOM）的发展。然后，可以将生成的BOM与相关的拆卸/制造条件相关联。提议的集成图像分类和产品分类（ISPC）方法可以被认为是自动化制造活动的一步。本文提出的ISPC模型利用并建立在计算机集成式再制造和再制造（CIDR）的最新技术和最新研究基础之上。介绍了对最新研究材料的评估以及阻碍CIDR方法实践的因素。本文提出了一种新颖的解决方案，用于集成成像和材料识别技术，以克服自动回收过程中存在的一些缺点。提议的产品扫描和成分检测ISPC软件包含四个不同的模型：库数据库，搜索引擎，产品属性更新程序以及图像分类和分类算法。本文介绍了集成四个组件的软件框架。最后，本文总结了在ISDR流程的各个阶段应用ISPC的总体评估。查看全文下载全文关键字计算机集成的去制造，拆卸过程，图像分类，产品分类，软件开发，回收技术，可持续制造相关的var addthis_config = {ui_cobrand： “泰勒和弗朗西斯在线”，services_compact：“ citeulike，netvibes，twitter，technorati，delicious，linkedin，facebook，stumbleupon，digg，google，更多”，发布：“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/0951192X.2011.579169

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