自动化拆解旧手机,每小时处理120台,成功率98.9%
RAISE: A Robot-Assisted Selective Disassembly and Sorting System for End-of-Life Phones
- 三模块协同:自适应切割、视觉分拣、电池移除
- 每小时处理超120台,拆解成功率98.9%
- 实现旧手机拆解盈利,适合回收企业部署
报废手机因产量高、寿命短,加剧全球电子垃圾问题。拆解是报废手机回收中最关键的环节,但因产品差异大,长期依赖人工,效率低且成本高。本文提出一种低成本、易部署的自动化选择性拆解与分拣系统,包含自适应切割、基于视觉的机器人分拣和电池移除三个子系统。系统每小时可处理超过120台手机,平均拆解成功率达98.9%,高效提取高价值组件供下游处理。该系统为报废手机拆解提供了可靠、可扩展的自动化解决方案,并显著提升经济效益,使原本亏损的拆解流程转为每单位重量产生净收益。
原文摘要 · Abstract (English)
End-of-Life (EoL) phones significantly exacerbate global e-waste challenges due to their high production volumes and short lifecycles. Disassembly is among the most critical processes in EoL phone recycling. However, it relies heavily on human labor due to product variability. Consequently, the manual process is both labor-intensive and time-consuming. In this paper, we propose a low-cost, easily deployable automated and selective disassembly and sorting system for EoL phones, consisting of three subsystems: an adaptive cutting system, a vision-based robotic sorting system, and a battery removal system. The system can process over 120 phones per hour with an average disassembly success rate of 98.9%, efficiently delivering selected high-value components to downstream processing. It provides a reliable and scalable automated solution to the pressing challenge of EoL phone disassembly. Additionally, the automated system can enhance disassembly economics, converting a previously unprofitable process into one that yields a net profit per unit weight of EoL phones.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。