Abstract
The present work addresses the problem of automated calibration system for residential water meters, by using artificial vision. The project consists of a closed water flow circuit powered by a low-power pump; the data from water meter is taken by the computer using a USB camera; a calculation is made based on the time it takes to fully rotate the smaller-scale needle of the meter to determine the water flow in real time. At the same time, the actual flow data of the reference standard element, which is a rotameter, is obtained by a second camera. These values are compared to calculate an error that determines the adjustment action on the water meter.
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Pruna, E., Bustamante, C., Escudero, M., Mullo, S., Escobar, I., Bucheli, J. (2020). Automatic Calibration for Residential Water Meters by Using Artificial Vision. In: Reddy, A., Marla, D., Simic, M., Favorskaya, M., Satapathy, S. (eds) Intelligent Manufacturing and Energy Sustainability. Smart Innovation, Systems and Technologies, vol 169. Springer, Singapore. https://doi.org/10.1007/978-981-15-1616-0_16
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DOI: https://doi.org/10.1007/978-981-15-1616-0_16
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