Embracing the sensible water concept involves the monitoring, management and command of water networks. Digitalisation is another key issue which could deliver added value throughout this whole process, from the water sensors to virtualisation options such as analytics and SCADA, Eric Woo, enterprise development manager, Asia, Lacroix, advised.
Take SCADA as an example, it has the potential to remotely control and manage water networks, thus enabling plant operators to manage their networks higher and optimise the operation of the devices they deploy. The SCADA central station thus serves as a gateway between the devices spread throughout the terrain and the operator responsible for analysing the network. Besides, Members only collects important information such because the service life of technical elements and community outputs, allowing operators to better plan for supplementary installations for his or her network.
Under Lacroix’s SCADA choices embody the Sofrel PCWin2 SCADA Central Station designed for operating Sofrel networks. It features the Interface Homme Machine (IHM) in HTML5, which allows operators to stay involved with their installations and monitor their network through mobile gadgets or PCs.
Other PCWin2 functions include a centralised alarm reporting via SMS and e-mail; automated calculations of common flows, balances, formulas and extra; curve plotting, graphic mimic diagrams; working stories in Excel format; and self-configuration primarily based on the parameters of the devices.
That said, a digitised water network has its set of vulnerabilities, as Woo advised Water & Wastewater Asia: “Water community vulnerabilities are plentiful. The main points lie within the ageing water infrastructure, which may lead to a high risk of leaks and non-revenue water, and the impression of local weather change, significantly on combined sewer overflows (CSO) and water pollution.
“Lacroix already supplies a water loss solution; the problem is accurately discovering the placement of the leak to fix it shortly and effectively. In the longer term, the challenge might be to make use of synthetic intelligence to anticipate leaks and perform preventative maintenance to make certain that leaks don’t occur in the first place.”
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