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UCHIC/CIWS-MWM-Logger: Version 1.1.0

Authors: Horsburgh, Jeffery S.; Tracy, Joshua; Bastidas, Camilo;

UCHIC/CIWS-MWM-Logger: Version 1.1.0

Abstract

This record contains the 1.1.0 release of the hardware and software designs for the Cyberinfrastructure for Intelligent Water Supply magnetically-driven smart water meter datalogger (CIWS-MWM-Logger). The CIWS-MWM -Logger can be used to collect high resolution water use data on magnetically-driven residential water meters. The datalogger is designed to read magnetic field information from a magnetometer sensor attached to a magnetically-driven positive-displacement water meter. The data is then processed into magnetic pulses per time period, configurable by the user. This data is stored on an SD Card, and can be read from a personal computer. Configuration is done over a serial interface. This release contains updates to the datalogger firmware code and a completed printed circuit board (PCB) design for bulk manufacturing of the datalogger hardware. Hardware Added completed PCB design and manufacturing files Updated documentation. Firmware Added SD card writing error detection. The firmware now attempts to detect errors and starts over with a new data file if an error is detected. Added user-adjustable data recording interval. This can now be configured by the user through the firmware's interface. Modified firmware to chunk data files by day instead of creating one long file for the whole logging period Added the ability for a user to input the conversion factor from pulses to flow rate (GPM) rather than picking a meter size. Updated firmware documentation. Known Issues Despite changes in this issue there we are still experiencing some issues with SD card writing. These issues will be fixed in a subsequent release.

Related Organizations
Keywords

smart meter, high resolution data, Arduino, water end uses, residential water use

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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