Digital transformation: Reimaging water processing

Embracing xp2i includes the monitoring, management and command of water networks. Digitalisation is one other key issue which could convey added value throughout this complete course of, from the water sensors to virtualisation options similar to analytics and SCADA, Eric Woo, business growth supervisor, Asia, Lacroix, suggested.
Take SCADA for instance, it has the aptitude to remotely control and manage water networks, thus enabling plant operators to manage their networks better and optimise the operation of the gadgets they deploy. The SCADA central station thus serves as a gateway between the gadgets unfold throughout the terrain and the operator responsible for analysing the community. Besides, the software also collects important data such because the service lifetime of technical components and community outputs, allowing operators to higher plan for supplementary installations for his or her network.
Under Lacroix’s SCADA offerings embody the Sofrel PCWin2 SCADA Central Station designed for operating Sofrel networks. It options the Interface Homme Machine (IHM) in HTML5, which enables operators to remain in contact with their installations and monitor their network by way of cellular units or PCs.
Other PCWin2 features include a centralised alarm reporting by way of SMS and e-mail; automatic calculations of average flows, balances, formulas and more; curve plotting, graphic mimic diagrams; operating stories in Excel format; and self-configuration based mostly on the parameters of the devices.
That said, a digitised water network has its set of vulnerabilities, as Woo told Water & Wastewater Asia: “Water network vulnerabilities are plentiful. The main points lie within the ageing water infrastructure, which can result in a excessive threat of leaks and non-revenue water, and the influence of local weather change, particularly on mixed sewer overflows (CSO) and water pollution.
“Lacroix already provides a water loss answer; the problem is precisely finding the situation of the leak to repair it shortly and efficiently. In the lengthy run, the challenge might be to use artificial intelligence to anticipate leaks and perform preventative maintenance to ensure that leaks do not happen in the first place.”

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