4.8 Article

Minimally Invasive Online Water Monitor

Journal

IEEE INTERNET OF THINGS JOURNAL
Volume 9, Issue 16, Pages 14325-14335

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2021.3074081

Keywords

Probes; Valves; Temperature sensors; Sensors; Temperature measurement; Minimally invasive surgery; Tools; Hot-tapping; installation; multisensor; quality; sensor; water

Funding

  1. ABB Switzerland Ltd, Group Technology Management

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This article introduces a minimally invasive method for sensor installation on water infrastructure, utilizing interchangeable multisensor probes for simple installation and maintenance, and demonstrates reliable and accurate sensing capability as well as remote data acquisition. The design allows for dynamic deployment and expandable sensing capability, which is crucial for addressing important sensing parameters.
Sensor installation on water infrastructure is challenging due to requirements for service interruption, specialized personnel, regulations and reliability as well as the resultant high costs. Here, a minimally invasive installation method is introduced based on hot-tapping and immersion of a sensor probe. A modular architecture is developed that enables the use of interchangeable multisensor probes, nonspecialist installation and servicing, low-power operation and configurable sensing and connectivity. A prototype implementation with a temperature, pressure, conductivity and flow multisensor probe is presented and tested on an evaluation rig. This article demonstrates simple installation, reliable and accurate sensing capability as well as remote data acquisition. The demonstrated minimally invasive multisensor probes provide an opportunity for the deployment of water quality sensors that typically require immersion, such as pH and spectroscopic composition analysis. This design allows dynamic deployment on existing water infrastructure with expandable sensing capability and minimal interruption, which can be key to addressing important sensing parameters, such as optimal sensor network density and topology.

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