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Hardware and software for a smart water meter computational node

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CIWS-WM-Node

This repository contains hardware and software designs for a computationally-enabled water meter datalogger. The hardware is made up of two parts. One part is a Raspberry Pi single board computer that serves as the computational resource. The Raspberry Pi is coupled with a data acquisition device that is based on an Arduino Pro and is similar to our simplified datalogger for magnetically-driven residential water meters (See UCHIC/CIWS-MWM-Logger).

The data acquisition device is primarily responsible for processing magnetometer sensor data and storing flow data from the water meter. Secondarily, it controls power to the Raspberry Pi in order to conserve battery life and reduce overall power consumption. Once powered, the Raspberry Pi retreives the flow data and processes it to compute useful summaries of water use, identify water end-uses, or execute other user-defined computational code.

Structure of this Repository

The 'Firmware' directory contains the firmware for the microcontroller-based data acquisition device, or Datalogger.

The 'Software' directory contains the software for the Raspberry Pi.

The 'Hardware' directory contains hardware design information, including a design and instructions for assembling a Node from off-the-shelf components as well as a printed circuit board (PCB) design and instructions for manufacturing them.

The 'Docs' directory contains documentation.

This device is still under active development.

Cyberinfrastructure for Intelligent Water Supply (CIWS)

CIWS is a project funded by the U.S. National Science Foundation to develop cyberinfrastructure for smart water metering and high resolution water-use data collection. We are developing systems for high resolution residential water consumption data collection, processing, and analysis.

Sponsors and Credits

NSF-1552444

This work was supported by National Science Foundation Grant CBET 1552444. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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