基于KE、DSM和ISM的巡逻机器人开发方法

Shih-Wen Hsiao, Chien-Nan Wu
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引用次数: 4

摘要

安全系统和定期环境巡逻对工厂安全管理非常重要,为了解决危险和恶劣环境下的人员巡逻问题,本研究设计和开发了巡逻机器人来辅助环境巡逻和协作。因此,我们采用感性工学(KE)中的产品形象分析,分析消费者对产品设计形象的偏好,进行概念设计,然后应用设计结构矩阵(DSM)和解释结构模型(ISM)进行产品设计和规划。利用KE、DSM和ISM制造巡逻机器人,协助环境巡逻。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A KE, DSM and ISM Based Approach for Patrol Robot Development
Safety systems and regular environmental patrols are very important for plant safety management, In order to solve personnel patrols in dangerous and harsh environments, this study designs and develops patrol robot to assist in environmental patrols and collaboration. So that we adopted a product image analysis used in Kansei Engineering (KE) to analconsumers’ preferences regarding product design images for conceptual design, and then applies design structure matrix (DSM) and interpretive structural model (ISM) for product design and planning. An implementation of using KE, DSM and ISM to create patrol robot and assist in environmental patrols.
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