Embracing the smart water idea entails the monitoring, management and command of water networks. Digitalisation is another key issue which might convey added value throughout this whole process, from the water sensors to virtualisation options such as analytics and SCADA, Eric Woo, business growth supervisor, Asia, Lacroix, instructed.
Take digital pressure gauge for example, it has the capability to remotely control and handle water networks, thus enabling plant operators to manage their networks better and optimise the operation of the devices they deploy. The SCADA central station thus serves as a gateway between the units spread throughout the terrain and the operator answerable for analysing the community. Besides, the software program additionally collects crucial information such because the service lifetime of technical parts and community outputs, allowing operators to better plan for supplementary installations for his or her network.
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 contact with their installations and monitor their community via cell gadgets or PCs.
Other PCWin2 capabilities embody a centralised alarm reporting by way of SMS and e-mail; automated calculations of common flows, balances, formulation and more; curve plotting, graphic mimic diagrams; working reports in Excel format; and self-configuration based 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 issues lie in the ageing water infrastructure, which might lead to a excessive threat of leaks and non-revenue water, and the impression of climate change, particularly on combined sewer overflows (CSO) and water pollution.
“ เพรสเชอร์เกจ provides a water loss resolution; the challenge is precisely discovering the placement of the leak to repair it shortly and efficiently. In the longer term, the problem shall be to make use of synthetic intelligence to anticipate leaks and perform preventative maintenance to make sure that leaks do not occur within the first place.”
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