Digital transformation: Reimaging water processing

Embracing the good water idea entails the monitoring, control and command of water networks. Digitalisation is one other key issue which could deliver added value throughout this entire course of, from the water sensors to virtualisation solutions corresponding to analytics and SCADA, Eric Woo, business growth supervisor, Asia, Lacroix, advised.
Take SCADA as an example, it has the aptitude to remotely control and handle water networks, thus enabling plant operators to handle their networks higher and optimise the operation of the units they deploy. The SCADA central station thus serves as a gateway between the devices unfold throughout the terrain and the operator answerable for analysing the community. Besides, the software program also collects critical information such as the service life of technical parts and network outputs, allowing operators to better plan for supplementary installations for his or her community.
Under Lacroix’s SCADA offerings 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 community by way of cell units or PCs.
Other PCWin2 features include a centralised alarm reporting via SMS and e-mail; computerized calculations of common flows, balances, formulation and extra; curve plotting, graphic mimic diagrams; operating reports in Excel format; and self-configuration based on the parameters of the units.
That stated, a digitised water network has its set of vulnerabilities, as Woo informed Water & Wastewater Asia: “Water network vulnerabilities are plentiful. เครื่องวัดแรงดันเกจที่นิยมใช้ lie in the ageing water infrastructure, which may lead to a high risk of leaks and non-revenue water, and the impression of local weather change, particularly on mixed sewer overflows (CSO) and water pollution.
“Lacroix already provides a water loss resolution; the challenge is accurately finding the placement of the leak to fix it quickly and effectively. In the longer term, the challenge will be to make use of artificial intelligence to anticipate leaks and perform preventative maintenance to ensure that leaks do not occur in the first place.”
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