Web-enabled software for real-time autonomous wireless sensors data visualization

Felix G. Hamza-Lup, Hongjun Su, Coby Wissing

Research output: Contribution to book or proceedingConference articlepeer-review

1 Scopus citations

Abstract

Real-time autonomous wireless sensors must provide information that is both accurate and timely. With the widespread of IoT, a myriad of sensors are producing a large quantity of numeric data. Still, as users, we are inclined to consume data that has been processed and displayed as visual information in order to facilitate decision processes. Web standards have evolved significantly over the past decade with X3D being adopted as an open ISO standard for Web3D. X3D and associated extensions like WebGL allows web-enabled visualization and facilitates remote collaboration. In this paper, we present a software architecture that allows data collection from IoT sensors, data processing and an interactive Web-enabled 3D visualization using the X3D standard for soft real-time systems. We also discuss the potential applications of such a system in several domains.

Original languageEnglish
Title of host publicationProceedings of International Conference on Industrial Control Network and System Engineering Research, ICNSER 2019
PublisherAssociation for Computing Machinery
Pages70-74
Number of pages5
ISBN (Electronic)9781450366274
DOIs
StatePublished - Mar 15 2019
Event2019 International Conference on Industrial Control Network and System Engineering Research, ICNSER 2019 - Shenyang, China
Duration: Mar 15 2019Mar 16 2019

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2019 International Conference on Industrial Control Network and System Engineering Research, ICNSER 2019
Country/TerritoryChina
CityShenyang
Period03/15/1903/16/19

Keywords

  • Data visualization
  • Real-time sensors
  • Real-time software
  • Web3D

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