目的 针对便携式3D打印机在医疗救援场景中交互流程冗长、环境适应性差、操作门槛高等关键问题,构建一套以场景感知为核心的交互系统,通过智能决策与流程重构,实现设备在救援环境下安全、高效、易用的核心目标。方法 通过用户访谈与场景分析,明确医护人员、任务流程及环境约束三大维度的核心需求。遵循“感知-决策-交互”的系统架构,提出“紧急医疗打印模式”并建立配套的动态任务调度优化模型。通过高保真原型开发与模拟环境下的仿真实验,对系统效能进行综合验证。结果 仿真与实验数据显示,所构建的交互系统显著提升了救援场景下的操作性能。动态任务调度模型使高优先级打印任务的平均等待时间降低了41.2%;移动震动环境中的关键任务流程成功率从单通道的0.680提升至0.975;界面光照自适应模型在强光直射条件下,将关键信息识别时间缩短了62.4%。结论 本研究成功验证了将场景感知理论、量化决策模型与用户中心设计深度融合,能有效解决便携式3D打印技术应用于医疗救援的交互瓶颈,为复杂动态场景下的人机系统构建提供了可借鉴的理论与实践案例。
Abstract
The work aims to construct an interactive system centered on scenario perception to address the key issues of cumbersome interactive processes, poor environmental adaptability, and high operational barriers for portable 3D printers in emergency medical rescue scenarios, and to achieve safe, efficient, and user-friendly operation of the device in rescue environments through intelligent decision-making and process re-engineering. Core needs across three dimensions of medical personnel, task flow, and environmental constraints were identified through user interviews and scenario analysis. Adhering to the "Perception-Decision-Interaction" system architecture, an "Emergency Medical Printing Mode" was proposed, and a supporting dynamic task scheduling optimization model was established. The system's effectiveness was comprehensively validated through the development of a high-fidelity prototype and simulation experiments in modeled environments. Simulation and experimental data demonstrated that the constructed interactive system significantly enhanced operational performance in rescue scenarios. The dynamic task scheduling optimization model reduced the average waiting time for high-priority printing tasks by 41.2%. The success rate of critical task flows in mobile, vibration-prone environments was improved from 0.68 with a single-channel interface to 0.975. Under direct strong light conditions, the interface illumination adaptive model shortened key information recognition time by 62.4%. This research successfully verifies that the deep integration of the scenario perception theory, quantitative decision-making models, and user-centered design can effectively address the interaction bottlenecks hindering the application of portable 3D printing technology in medical rescue. It provides a referential theoretical and practical case for the construction of human-machine systems in complex and dynamic scenarios.
关键词
3D打印机 /
交互系统设计 /
医疗救援 /
场景感知 /
紧急打印模式
Key words
3D printer /
interactive system design /
emergency medical rescue /
scenario perception /
emergency printing mode
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基金
湖北省自然科学基金（2024AFB519）; 湖北美术学院现代公共视觉艺术设计研究中心一般项目（JD-2025-04）
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