Impedance Sensor Network for Multiphase Flow Monitoring and Characterization

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.

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Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1109/lciot64881.2025.11118582
Primary Topic
Flow Measurement and Analysis
Type
article
Field-Weighted Citation Impact
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article

Impedance Sensor Network for Multiphase Flow Monitoring and Characterization

Marco J. da Silva, Rigoberto Morales, Natan Schieck Reginaldo, Eduardo Nunes dos Santos
Flow Measurement and Analysis
article

Impedance Sensor Network for Multiphase Flow Monitoring and Characterization

Marco J. da Silva, Rigoberto Morales, Natan Schieck Reginaldo, Eduardo Nunes dos Santos
article en

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.

Johannes Kepler University of Linz (AT), Universidade Tecnológica Federal do Paraná (BR)
Affordable and clean energy
Openalex Percentile: Top 76%
Flow Measurement and Analysis
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Impedance Sensor Network for Multiphase Flow Monitoring and Characterization — Marco J. da Silva, Rigoberto Morales, et al. · (2025) | TGRS Research Map | TGRS