Impedance Sensor Network for Multiphase Flow Monitoring and Characterization

Natan S. Reginaldo*, Marco Da Silva, Rigoberto E. M. Morales, Eduardo Nunes dos Santos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

This work describes a distributed dual-modality impedance sensor system designed to monitor and characterize multiphase flows in academic and industrial environments. The system combines commercial off-the-shelf (COTS) components and custom hardware to implement resistive and capacitive sensing capabilities with the aim of providing insights into flow dynamics. The architecture employs high-speed data acquisition, synchronized timestamping, and configurable signal conditioning mechanisms. Real-time communication is enabled via WebSocket protocols over a Power-over-Ethernet (PoE) network, with data aggregation and visualization carried out using a centralized time-series database (TSDB) and interactive dashboard and data analysis platform (Grafana). By merging Internet of Things (IoT) principles with impedance sensing, the system accomplishes a scalable and versatile solution for complex flow monitoring challenges.
Original languageEnglish
Title of host publication1st IEEE Latin American Conference on Internet of Things, LCIoT 2025 - Proceedings
Pages220-224
Number of pages5
ISBN (Electronic)979-8-3315-1118-0
DOIs
Publication statusPublished - 19 Aug 2025
EventIEEE Latin Conference on IoT (LCIoT) - Fortaleza, Brazil
Duration: 23 Apr 202525 Apr 2025

Conference

ConferenceIEEE Latin Conference on IoT (LCIoT)
Country/TerritoryBrazil
CityFortaleza
Period23.04.202525.04.2025

Fields of science

  • 202012 Electrical measurement technology
  • 202036 Sensor systems
  • 202016 Electrical engineering
  • 202027 Mechatronics
  • 202037 Signal processing
  • 203016 Measurement engineering

JKU Focus areas

  • Digital Transformation

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