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Aquarius Spectrum to provide leak detection services in Singapore 900 hydroponic sensors will be installed to monitor 400km of large water mains
Aquarius Spectrum, a leading provider of water leak detection and pipe condition assessment solutions, will deploy its innovative acoustic monitoring system (AQS-SYS) on Singapore's drinking water supply network.
Aquarius Spectrum¡¯s solution was part of the proposal submitted by its local partner, which was awarded the tender by PUB, Singapore¡¯s National Water Agency for provision of leak detection services.
Aquarius will provide 900 hydroponic sensors to be installed on Singapore's large water mains - with diameters ranging from 500mm to 2,200mm.
These sensors, designed specifically for underground installation, will perform leak monitoring on approximately 400km of the water pipeline for the next 5 years.
The hydroponic sensors detect and record the sounds within the pipe, sending them directly to a cloud-based server for analysis using a wireless network and special algorithms.
The results are translated to system alerts including a detailed GIS map of identified leaks and their estimated size. A unique feature of the AQS monitoring system is an automatic correlation between every two measuring sensors, generating reliable and accurate results in a very short of time.
¡°Aquarius is proud to deliver to PUB the gold standard performance in leak detection in a large-scale project, having successfully provided leak detection services in all five continents¡±, said Naama Zeldis, CEO of Aquarius Spectrum¡±.
¡°Aquarius allows utilities around the world to significantly reduce their Non-Revenue Water and their operational costs by providing accurate and continuous data on the quality of the pipe system, on points of vulnerability and on potential and actual leak events.¡±
¡°The best way to minimize water losses, optimize the water network asset and avoid unnecessary capital investments such as emergency treatments and piping replacement, is by taking a proactive approach, while implementing data-driven tools and big-data analysis¡±, added Zeldis.
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