Semiconductor fabs face highly variable wastewater from blended Local Scrubbers Reclaim (LSR) and Hydrofluoric Acid Wastewater (HFW) streams, where suspended solids and fluoride stress can quickly disrupt UF performance. Turing’s exclusive SmartOps software backed with our TOP Clear technology, continuously
analyzes influent conditions and recommends real-time set-point and backwash adjustments, delivering more stable UF operations, fewer backwash cycles, and improved recovery.
The Challenge
Fab wastewater conditions shift constantly. LSR varies with scrubber loads and suspended solids, heavily dependent on real-time production activities. Concurrently, HFW introduces fluoride compounds that increase chemical stress on UF membranes beyond the physical fouling caused by particulates. Together, they created a moving target that manual operation, fixed set-points, and scheduled backwash intervals could not reliably manage without risking membrane health or sacrificing efficiency.
The Solution
The customer worked with their water treatment provider, Gradiant, to deploy SmartOps platform powered by Turing, providing continuous actionable operational intelligence on the already-running system, avoiding the need for a complex process redesign. The platform continuously analysed the blended influent, accounting for the changing solids load and fluoride-related membrane stress. By simulating likely membrane responses in real time, SmartOps translated these operational insights into precise, dynamic recommendations for optimal set-points and backwash timing.
The Customer Testimonial
“What we valued most was that SmartOps never stopped working in the background — analyzing our influent, simulating what it meant for our membranes, and giving us precise recommendations. Even when we were firefighting elsewhere on site, the system was already telling us the right set-points and when to backwash. That’s what continuous intelligence looks like in practice.”
Alagu Murugesan
Senior Service Manager – Semiconductor for APAC, Gradiant
