基于物联网数据的多维历史回放系统设计与实现

Zhengxing Zhu, Shuai Zhao, Bo Cheng
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引用次数: 2

摘要

在物联网(IoT)监控系统中,有各种设备用于监控目标的运动轨迹和行为,这些设备的原始数据随着时间的积累,形成了庞大的历史数据。监控目标的历史回顾需要一个以可视化形式呈现目标历史数据的系统。现有系统已经实现了目标历史数据的存储,但在历史数据的回放方面还存在不足。系统缺乏对目标多设备历史监控数据的可视化回放,难以全面反映目标在回放期间的行为信息和运动状态。该系统缺乏目标历史运动轨迹的动态呈现,难以在回放过程中直观显示目标在不同时间的历史位置,也无法分析目标的历史行为趋势。为解决上述问题,本文设计并实现了一个支持目标多维信息显示和目标航迹动态呈现的历史数据回放系统。使用轻量级web应用程序框架Express来构建网站。基于地理信息系统(GIS)技术,提出了一种快速动态绘制目标航迹的增量更新方法。结合构件技术,提出了目标历史的多维信息可视化方法。测试结果表明,该系统能够完成物联网历史监控数据的多维回放和目标轨迹的快速动态呈现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of multi-dimensional History Playback System Based on IoT Data
In the Internet of Things(IoT) monitoring system, there are various devices for monitoring the target's movement trajectory and behavior, the raw data of these devices has accumulated over time to form huge historical data. A historical review of monitoring targets requires a system that presents the target's historical data in a visual form. The existing system has realized the storage of target historical data, but there is still a lack in the playback of historical data. The system lacks the visual playback of the target multi-device historical monitoring data, that is difficult to comprehensively reflect the behavior information and movement status of the target during the playback period. The system lacks dynamic presentation of the target's historical motion trajectory, that is difficult to visually display the target's historical position at different times during playback, and it is impossible to analyze the historical behavior trend of the target. This paper designs and implements a historical data playback system that supports the display of target multi-dimensional information and the dynamic presentation of target track to solve the above problems. A lightweight web application framework Express is used to build a website. Based on GIS(Geographic Information System) technology, an incremental update method for fast and dynamic rendering of the target track is proposed. Combined with the component technology, the target history multidimensional information visualization is presented. Test results show that the system can complete multi-dimensional playback of historical IoT monitoring data and rapid dynamic presentation of target tracks.
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