大数据、物联网、增强现实:可视化问题中的技术融合

D. Smuseva, A. Rolich, L. Voskov, I. Malakhov
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引用次数: 1

摘要

本文综述了增强现实和物联网市场的现状。本文考虑了从物联网设备实现大数据可视化的AR的可能性。对可视化的方法、工具、产品和数据系统进行了综述和分析。本文概述了增强现实的程序和设备,并概述了开发环境。本文介绍了计算机数据可视化工具的现有分类,并提出了考虑交互式可视化、工具用途、软件产品类型、现成模板的可用性等特点的新分类。本文提出了基于Heltec模块的物联网终端设备数据采集系统架构。在研制的实验台上,用两种型号的Heltec装置进行了实验,确定了随着发送装置与接收装置之间距离的增加而产生的损耗数。测量这些设备的功耗的结果以两种模式呈现:在待机模式和向Heltec端点设备发送消息时,以及在待机模式和向基站接收消息时。这些研究使用各种数据传输协议(LoRa、Wi-Fi和蓝牙)进行。本文介绍了一所大学建筑数字孪生体的开发结果,以及用于接收实时数据采集设备数据的增强现实软件的开发结果。
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Big Data, Internet of Things, Augmented Reality: technology convergence in visualization issues
The paper reviews the current situation of the Augmented Reality and Internet of Things markets. The implementing possibilities of AR for Big Data visualization from IoT devices are considered in this paper. The review and the analysis of methods, tools, products and data system of the visualization are presented. The paper provides an overview of the programs and devices of Augmented Reality, and an overview of development environments. The paper presents the existing classifications of computerized data visualization tools and proposes new classification, which takes into account interactive visualization, the purpose of the tool, the type of software product, the availability of ready-made templates, and other characteristics. The article proposes the architecture of the system for collecting data from IoT endpoint devices based on the Heltec modules. Experiments based on the developed experimental stand were carried out with Heltec devices of both versions to determine the number of losses with increasing distance between the sending device and the receiving device. The results of measuring the power consumption of these devices are presented in two modes: in standby mode and when sending a message to the Heltec endpoint device and in standby mode and when receiving a message for the base station. These studies were conducted using various data transfer protocols (LoRa, Wi-Fi and Bluetooth). The paper presents the result of the development of a digital twin of a university building and the development of augmented reality software for receiving data from real-time data collection devices.
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