Digital transformation: Reimaging water processing

Embracing the sensible water idea entails the monitoring, control and command of water networks. Digitalisation is one other key factor which might convey added value throughout this entire course of, from the water sensors to virtualisation options such as analytics and SCADA, Eric Woo, enterprise growth manager, Asia, Lacroix, advised.
Take SCADA for instance, 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 units they deploy. The SCADA central station thus serves as a gateway between the units spread throughout the terrain and the operator liable for analysing the network. Besides, the software program also collects critical data such as the service lifetime of technical parts and community outputs, permitting operators to better plan for supplementary installations for their community.
Under Lacroix’s SCADA choices include the Sofrel PCWin2 SCADA Central Station designed for operating Sofrel networks. It features the Interface Homme Machine (IHM) in HTML5, which allows operators to remain involved with their installations and monitor their network via cell devices or PCs.
Other PCWin2 functions include a centralised alarm reporting by way of SMS and e-mail; automatic calculations of common flows, balances, formulation and more; curve plotting, graphic mimic diagrams; working reports in Excel format; and self-configuration primarily based on the parameters of the units.
That stated, a digitised water network has its set of vulnerabilities, as Woo advised Water & Wastewater Asia: “Water network vulnerabilities are plentiful. The primary issues lie in the ageing water infrastructure, which can lead to a high threat of leaks and non-revenue water, and the influence of local weather change, significantly on combined sewer overflows (CSO) and water pollution.
เกจวัดแรงดันถังแก๊ส offers a water loss resolution; the problem is precisely discovering the location of the leak to repair it quickly and effectively. In the future, the challenge might be to use synthetic intelligence to anticipate leaks and carry out preventative upkeep to make sure that leaks do not occur in the first place.”
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