Novel Microcontroller-Based Multielectrode Sensor System for Tomographic Imaging of Salinity

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2025-08-05 DOI:10.1109/JSEN.2025.3593973

Astha Gautam;Priyanka Prajapati;Joe Mohan;Mausam Sarkar;Kamaljit Rangra;Hardik B. Kothadia

引用次数: 0

Abstract

This article presents a novel microcontroller-based, real-time tomographic imaging for fluid mixing using a multielectrode sensor (MES) system. Existing flow visualization methods face challenges such as low resolution, slow speed, high complexity, and cost. To overcome these challenges, an optimized MES integrated with a cost-effective microcontroller-based data acquisition system is developed. The system was validated through experiments with tap and saline water with concentrations ranging from 0.5 to 5 g/L and successfully visualized the mixing process by measuring conductivity variations as 2 g/L saline water mixed with tap water in a scaled reactor pressure vessel (RPV) model using multidimensional tomography. This cost-effective, novel system provides valuable insights for improving flow mixing analysis in nuclear and industrial applications, enhancing process control and safety.

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基于微控制器的盐度层析成像多电极传感器系统

本文介绍了一种新型的基于微控制器的，使用多电极传感器（MES）系统进行流体混合的实时层析成像。现有的流场可视化方法存在分辨率低、速度慢、复杂性高、成本低等问题。为了克服这些挑战，开发了一种优化的MES，集成了经济高效的基于微控制器的数据采集系统。该系统通过自来水和盐水浓度为0.5至5 g/L的实验进行了验证，并通过在缩放反应堆压力容器（RPV）模型中使用多维层析成像技术测量2g /L盐水与自来水混合时的电导率变化，成功地可视化了混合过程。这种具有成本效益的新型系统为改善核和工业应用中的流动混合分析，加强过程控制和安全性提供了有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice