Modelling the Positional and Orientation Sensitivity of Proximity Sensors for Industrial IoT

R. McWilliam, A. Purvis, Samir Khan

Research output: Contribution to conferenceOther

Abstract

This paper presents an analysis of robust proximity sensor interfaces for Industrial Internet of Things applications. A Model is presented with the aim of maximizing the range and freedom of orientation of passive sensing and communications devices in comparison to traditional sourcesensor technologies. A matrix transformation approach is used to model the quality of mutual coupling between triaxial source and sensor coil arrangements for arbitrary relative position and angular rotation. Particular attention is paid to the recombination of triaxial sensor outputs and optimal rotation for maximal coverage given a specified coupling threshold. The model is useful for determining practical source-sensor configurations that achieve optimal coverage when the sensor position and rotation is restricted by the industrial application.
Original languageEnglish
Publication statusPublished - 2016
Event18th International Conference on Modelling & Simulation - Cambridge, United Kingdom
Duration: 6 Apr 20168 Apr 2016

Conference

Conference18th International Conference on Modelling & Simulation
Abbreviated titleUKSim-AMSS
CountryUnited Kingdom
CityCambridge
Period6/04/168/04/16

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Keywords

  • Internet of things
  • Industrial sensing
  • Radio frequency
  • identification
  • Inductive coupling

Cite this

McWilliam, R., Purvis, A., & Khan, S. (2016). Modelling the Positional and Orientation Sensitivity of Proximity Sensors for Industrial IoT. 18th International Conference on Modelling & Simulation, Cambridge, United Kingdom.