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人工智能的无人化智慧图书馆管理系统研究

Research on unmanned intelligent library management system based on artificial intelligence
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摘要 针对图书馆管理中藏书上架等基础操作仍然需要人工手动完成的问题,提出一种无人化智慧图书馆管理系统。在机器人运行中通过视觉传感器采集地标实现自主定位,并利用扩展卡尔曼滤波(EKF)算法对机器人运行流程中的位置和姿态数据进行校正。针对机器人行进轨迹的准确性和图书分类速度进行实验,采用该研究设计的EKF优化算法校准的轨迹误差平均值降低了55%,最大误差降低了32.8%,标准差降低了73.4%;每本图书放置平均耗时为1.8分钟,平均耗时下降了41.9%。 Based on the problem that the basic operations such as book collection and shelf loading in library management still need to be completed manually,an unmanned intelligent library management system is proposed.During the operation of the robot,the vision sensor collects landmarks to achieve autonomous positioning,and the extended Kalman filter(EKF)algorithm is used to correct the position and posture data in the robot running process.The experiments are designed for the accuracy of robot trajectory and book classification speed.The average trajectory error calibrated by the EKF optimization algorithm designed in this study is reduced by 55%,the maximum error is reduced by 32.8%,and the standard deviation is reduced 73.4%.Overall,the average time for each book to be placed is 1.8 minutes,and the average time is reduced by 41.9%.
作者 陈丽 CHEN Li(Shaanxi Library,Xi’an 710061,China)
机构地区 陕西省图书馆
出处 《信息技术》 2023年第4期123-127,133,共6页 Information Technology
关键词 智慧图书馆 无人化 视觉传感器 轨迹误差 机器人定位 intelligent library unmanned visual sensor trajectory error robot positioning
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