Scientific Paper
On-line measuring sensors for smart water network monitoring
Abstract
Smart cities are getting essential to drive economic growth, increase social prospects and improve high-quality lifestyle for citizens. To meet the goal of smart cities, Information and Communications Technology (ICT) have a key role. The application of smart solutions will allow the cities to use ICT and big data to improve infrastructure and services (i.e. network efficiency, protection from contamination, etc.). In the water sector, the integration of smart meters and sensors coupled with cloud computing and the paradigm of “divide and conquer” introduces a novel and smart management of the water network allowing an efficient online monitoring and transforming the traditional water networks into modern Smart WAter Networks (SWAN). The Ctrl+SWAN (Cloud Technologies & ReaL time monitoring+Smart WAter Network) Action Group (AG) was created within the European Innovation Partnership on Water, in order to promote innovation in the water sector by advancing existing smart solutions. The paper presents an update of a previous work on the state of the art on the best On-line Measuring Sensors (OMS) already available on the market and innovative technologies in the Research and Development (R&D) phases.
Related work.
- Rapid Screening of Vapor Uptake by Ultra-Thin Polymer Films Using Surface Plasmon Resonance and Quartz Crystal Microbalance with Dissipation Monitoring 2025
- MoO3 Coated Quartz Crystal Microbalance as a Room Temperature Ammonia Sensing Platform 2025
- Chitosan/Sn@C composite nanofiber coatings for QCM-based humidity sensing 2026
- A QCM-Based Device for Neurodegenerative Diseases Detection in Human Perspiration 2024
- Electrophoresis and Quartz Crystal Microbalance Instrumentation to Sense Nanoplastics in Water 2024
- Development of gold nanospikes-modified quartz crystal microbalance biosensor for prostate specific antigen detection 2024
Browse all papers.
Hundreds of peer-reviewed publications cite openQCM. Search full-text and filter by instrument, year, journal or topic.