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.
Highlights
In water scarce regions, the need to manage scarce water resources and utilization can be a demanding
The YF201 Hall Effect flowrate sensor rates among the cheapest flowrate sensor that is commonly used in low budget applications requiring some form of water flowrate measurement and management
The experimental testbed used for the research work is composed of an IoT based Particle Photon development
Summary
The need to manage scarce water resources and utilization can be a demanding. The YF201 Hall Effect flowrate sensor rates among the cheapest flowrate sensor that is commonly used in low budget applications requiring some form of water flowrate measurement and management. These applications span over gardening, fisheries, automating the flow measurements during milk production in milking of goats [1]. The experimental testbed used for the research work is composed of an IoT based Particle Photon development. The assertions could be interrelated and expressed using Equation 1 ( VT(t) – Tank volume (m3), t – time (s), PFR(t )– pulse count obtain from the flowrate sensors). The degree of relationship between pulse count and differential volume as express in equation 1 is shown using correlation and regression square tools
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