基于S-BFPS模型的管道清淤机器人设计研究
摘 要：为了降低管道清淤工人的劳动强度、保障工人的人身安全，设计一款可以代替人工进入管道的智能清淤机器人。通过对FBS模型进行扩展变形，加入情境“S”，并将行为域拓展为使用行为“B”和功能原理“P”。对用户和清淤机器人所处的情境进行划分，然后通过不同情境对清淤机器人的各种功能进行定义，最后输出设计研究实践成果。应用S-BFPS模型对管道清淤机器人进行情境分类构建，将情境需求提炼转化为设计需求，并且进一步解读行为域，提出了可实现行为的原理，为处于复杂情境的产品设计提供参考示例。
关键词：情境分类；清淤机器人；S-BFPS；功能映射；行为域
中图分类号：TB472 文献标识码：A 文章编号：1672-7053(2023)11-0140-04
Abstract： To reduce the labor intensity of pipeline dredging workers and ensure their personal safety, an intelligent dredging robot that can replace manual entry into the pipeline was designed. By extending the FBS model with scenarios (S) and expanding the behavioral domain to include usage behavior (B) and functional principles (P), the situations involving users and the dredging robot were classified, and various functions of the dredging robot were defined based on these different scenarios. Finally, the design research and practice results were generated. The S-BFPS model classified the scenarios of the pipeline dredging robots, refined the situation requirements into design requirements, further interpreted the behavioral domain, and proposed feasible behavioral principles to provide reference examples for product design in complex situations.
Key Words：Scenario Classification; Dredging Robot; S-BFPS; Function Mapping; Behavioral Domain
