Digital transformation: Reimaging water processing

Embracing the smart water idea involves the monitoring, management and command of water networks. Digitalisation is one other key issue which could convey added worth throughout this complete process, from the water sensors to virtualisation options such as analytics and SCADA, Eric Woo, business development supervisor, Asia, Lacroix, instructed.
Take SCADA as an example, it has the aptitude to remotely control and handle 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 responsible for analysing the network. Besides, the software program also collects crucial data such as the service lifetime of technical parts and community outputs, permitting operators to higher plan for supplementary installations for their network.
Under Lacroix’s SCADA choices embrace the Sofrel PCWin2 SCADA Central Station designed for operating Sofrel networks. It features the Interface Homme Machine (IHM) in HTML5, which enables operators to remain involved with their installations and monitor their community through mobile devices or PCs.
Other PCWin2 features embody a centralised alarm reporting by way of SMS and e-mail; computerized calculations of common flows, balances, formulas and more; curve plotting, graphic mimic diagrams; operating stories in Excel format; and self-configuration primarily based on the parameters of the units.
เพรสเชอร์เกจ mentioned, a digitised water community has its set of vulnerabilities, as Woo told Water & Wastewater Asia: “Water community vulnerabilities are plentiful. The primary points lie within the ageing water infrastructure, which can lead to a excessive danger of leaks and non-revenue water, and the influence of local weather change, notably on mixed sewer overflows (CSO) and water pollution.
“Lacroix already provides a water loss resolution; the problem is precisely discovering the location of the leak to repair it rapidly and effectively. In the longer term, the challenge will be to make use of synthetic intelligence to anticipate leaks and perform preventative maintenance to make certain that leaks do not happen within the first place.”

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