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基于即时设计平台的无人物流车智能终端UI设计OA

中文摘要英文摘要

智能无人物流车上优秀的智能UI交互和路径优化的数据处理便是实现其智能化、高效化送件的重要手段之一.该文利用即时设计软件和遗传算法提出一套符合无人物流车特点的智能UI界面设计方案.智能UI界面采用个性化风格改善传统的单调乏味的UI界面,同时加入触摸振动和屏幕视觉抖动增加人机交互,配合系统的遗传算法解决路径优化方法规划最佳路线,优化取件和寄件的路径流程,使得用户减少繁琐的开关门识别和取件等待过程.该方案包括寄件与取件显示、智能化的自动控制、多样化的操作方式、人性化交互设计等要素,旨在提高无人物流车的工作效率和准确性,降低操作难度和操作失误率.相信这一设计方案将为后续前端开发者制作无人物流车的智能UI界面和路径规划提供一些参考,为无人物流车的智能化和物流行业的发展带来更多的可能性和机遇.

The excellent intelligent UI interaction and path optimization of intelligent unmanned logistics vehicle is one of the important means to realize its intelligent and efficient delivery.This paper puts forward a set of intelligent UI interface design scheme which accords with the characteristics of unmanned logistics vehicle by using real-time design software and genetic algorithm.The intelligent UI interface adopts personalized style to improve the traditional monotonous UI interface,adds touch vibration and screen visual jitter to increase human-computer interaction,plans the best route with the system's genetic algorithm to solve the path optimization method,and optimizes the path flow of picking up and sending parts so that users can reduce the tedious opening and closing door identification and waiting process.The scheme includes the display of dispatch and pick-up,intelligent automatic control,diversified operation modes,humanized interactive design and other elements,which aims to improve the working efficiency and accuracy of the unmanned moving car,and reduce the difficulty and error rate of operation.It is believed that this design scheme will provide some references for the follow-up front-end developers to produce the intelligent UI interface and path planning of unmanned logistics vehicles,and bring more possibilities and opportunities for the intelligence of unmanned vehicles and the development of the logistics industry.

刘余东;全嘉乐;唐丹娜

南京理工大学,南京 210000

计算机与自动化

智能UI人机工程学寄件与取件用户与驿站管理员交互

intelligent UIergonomicssending and picking upuser and station administratorinteraction

《科技创新与应用》 2024 (002)

32-36 / 5

10.19981/j.CN23-1581/G3.2024.02.008

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