πŸ“‹ Case Study

Flow Measurement Optimization for Municipal Water Treatment Plant

Inconsistent flow readings during low-flow conditions; inability to detect electrode fouling or liner degradation

πŸ—οΈ Project Overview

Retrofit of aging electromagnetic flowmeters across 3 filtration lines in Toronto

🎯 Challenge

Inconsistent flow readings during low-flow conditions; inability to detect electrode fouling or liner degradation

πŸ”§ Design Approach

Replaced with smart magmeters featuring built-in diagnostics (electrode resistance monitoring, empty pipe detection, coating thickness estimation)

πŸ“ Design Diagram

Flow Measurement Optimization Diagnostics β€’ Electrode R β€’ Empty pipe β€’ Coating est. ! Low-flow instability Fouling undetected Qmin = 0.012 mΒ³/h Rcoating = 1.35Γ—Rbaseline Process flow Electrodes Liner Challenge

AI-generated project design illustration

πŸ“ Key Calculations

Minimum Detectable Flow Rate

Qmin = k·√(Re_min·ν·D)
Result: 0.012 mΒ³/h
Enabled accurate dosing control at low flows

Coating Thickness Threshold

R_coating = R_baseline Γ— 1.35
Result: 1.35Γ— baseline
Triggered maintenance alert before accuracy loss >1%

πŸ“Š Results

Eliminated 100% of false low-flow alarms; reduced chemical overdosing by 18%; predictive maintenance alerts cut unplanned downtime by 72%

πŸ’‘ Lessons Learned

  • β€’Baseline electrode resistance must be captured during commissioning
  • β€’Diagnostic thresholds require site-specific validation

βœ… Key Takeaways

  • 1Baseline electrode resistance must be captured during commissioning
  • 2Diagnostic thresholds require site-specific validation