With the help of the description methods in graph theory and the adaptive adjustment method, a steady sate simulation model for fin-and-tube heat exchanger with complex circuit arrangement was developed.This model cou...With the help of the description methods in graph theory and the adaptive adjustment method, a steady sate simulation model for fin-and-tube heat exchanger with complex circuit arrangement was developed.This model could provide better compatibility and accuracy for the design of heat exchanger with complex circuit arrangement.Using this model, six typical fin-and-tube heat exchangers with different circuit arrangements were analyzed.The counter flow arrangement could not always achieve the best performance.With appropriate compound arrangement, the performance of heat exchanger could be improved by 2%—4%.展开更多
同时定位与地图创建(simultaneous localization and mapping,SLAM)自1986年提出以来一直是机器人领域的热点问题,被认为是实现真正全自主移动机器人的关键。其目的是让机器人在未知环境下实现自身定位同时创建出环境地图。视觉SLAM(vis...同时定位与地图创建(simultaneous localization and mapping,SLAM)自1986年提出以来一直是机器人领域的热点问题,被认为是实现真正全自主移动机器人的关键。其目的是让机器人在未知环境下实现自身定位同时创建出环境地图。视觉SLAM(visual simultaneous localization and mapping,VSLAM)是仅用相机作为传感器的定位与制图。随着计算机视觉和机器人技术的发展,VSLAM已成为无人系统领域的研究焦点。本文对VSLAM的最新研究现状进行总结,阐述了VSLAM中的主要问题,分别介绍了VSLAM基于滤波和图优化的实现方法,并探讨了VSLAM的研究与发展方向。展开更多
文摘With the help of the description methods in graph theory and the adaptive adjustment method, a steady sate simulation model for fin-and-tube heat exchanger with complex circuit arrangement was developed.This model could provide better compatibility and accuracy for the design of heat exchanger with complex circuit arrangement.Using this model, six typical fin-and-tube heat exchangers with different circuit arrangements were analyzed.The counter flow arrangement could not always achieve the best performance.With appropriate compound arrangement, the performance of heat exchanger could be improved by 2%—4%.
文摘同时定位与地图创建(simultaneous localization and mapping,SLAM)自1986年提出以来一直是机器人领域的热点问题,被认为是实现真正全自主移动机器人的关键。其目的是让机器人在未知环境下实现自身定位同时创建出环境地图。视觉SLAM(visual simultaneous localization and mapping,VSLAM)是仅用相机作为传感器的定位与制图。随着计算机视觉和机器人技术的发展,VSLAM已成为无人系统领域的研究焦点。本文对VSLAM的最新研究现状进行总结,阐述了VSLAM中的主要问题,分别介绍了VSLAM基于滤波和图优化的实现方法,并探讨了VSLAM的研究与发展方向。
