Efficient filtration is paramount in water treatment facilities, serving as a crucial defense against pathogen passage and a key factor in reducing turbidity in treated water. However, managing filter operations is a complex task, often constrained by various factors that impact unit filter run volume (UFRV). These variables include water rate, temperature, quality, chemical inputs, floc strength, and filter parameters. Achieving optimal performance while controlling costs and consistently producing high-quality treated water amid these ever-changing conditions is a formidable challenge. Operators frequently resort to reactive backwashing when water quality deviates from standards, resulting in inefficiencies, labor-intensive processes, and the inability to adapt to fluctuating demands without substantial investments.
In response to these challenges, Canvass AI offers a Filter Optimization Solution. This solution continuously analyzes a wealth of data and predicts their influence on filtered water quality. Operators gain the ability to visualize the effects of altering operating conditions and inputs, enabling confident adjustments for optimal results. This feedback-driven approach empowers operators to respond swiftly, maintain consistent finished water quality, reduce backwash frequency, and cut operational costs by up to 20% without the need for significant capital investments. The Filter Optimization Solution presents a promising opportunity for water treatment facilities to proactively enhance efficiency, control expenses, and maximize asset performance, addressing the capacity limitations that have hindered proactive maintenance of water quality targets. Get started with applying this Solution today!
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