Digital transformation: Reimaging water processing

Embracing the smart water concept entails the monitoring, management and command of water networks. Digitalisation is another key factor which might bring added worth throughout this whole process, from the water sensors to virtualisation options similar to analytics and SCADA, Eric Woo, business development manager, Asia, Lacroix, instructed.
Take spmk700 for example, it has the capability to remotely management and handle 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 units unfold throughout the terrain and the operator responsible for analysing the community. Besides, the software also collects crucial information such because the service life of technical elements and network outputs, permitting operators to better plan for supplementary installations for their community.
Under Lacroix’s SCADA offerings embrace 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 in touch with their installations and monitor their community through cellular devices or PCs.
Other PCWin2 features embody a centralised alarm reporting by way of SMS and e-mail; computerized calculations of average flows, balances, formulation and extra; curve plotting, graphic mimic diagrams; working reports in Excel format; and self-configuration primarily based on the parameters of the units.
That said, a digitised water network has its set of vulnerabilities, as Woo told Water & Wastewater Asia: “Water network vulnerabilities are plentiful. The primary issues lie in the ageing water infrastructure, which might lead to a excessive danger of leaks and non-revenue water, and the impression of climate change, particularly on combined sewer overflows (CSO) and water pollution.
เกจไนโตรเจนsumo supplies a water loss answer; the problem is accurately discovering the situation of the leak to fix it quickly and effectively. In the longer term, the challenge shall be to use artificial intelligence to anticipate leaks and carry out preventative upkeep to ensure that leaks don’t happen in the first place.”

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