Evaluation and Modelling of a Low Budget Hall Effect Based Flow-Rate Sensor using Adaptive Calibration Paradigm

Emmanuel M. Eronu, Moses Odiagbe
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Abstract

The research work demonstrated the use of adaptative and comparative paradigm to calibrate and validate Hall Effect flowrate sensor’s related performance data. The experimental testbed used for the research work is composed of an IoT based platform integrated into a water pipe network. The use of IoT largely assisted in facilitating a well-coordinated and flexible paradigm for efficient data collections and analysis. Correlated and Associative analysis on data obtained shows a strong significant relationship (R2=89%) between the rate of Pulse count and rate of change in differential volume leading to the derivation of a model that is helpful in determining of volumetric rate and quantity of liquid dispense as function of pulse count generated from a Hall Effect flowrate sensor.
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基于自适应校准范式的低预算霍尔效应流量传感器评估与建模
研究工作展示了使用自适应和比较范式来校准和验证霍尔效应流量传感器的相关性能数据。用于研究工作的实验试验台由物联网平台集成到水管网络中组成。物联网的使用在很大程度上有助于促进协调良好、灵活的范式,以实现高效的数据收集和分析。对所获得数据的相关和关联分析表明,脉冲计数率与差体积变化率之间存在很强的显著关系(R2=89%),从而推导出一个模型,该模型有助于确定体积率和液体分配量作为霍尔效应流量传感器产生的脉冲计数的函数。
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