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Intelligent Monitoring System for Wastewater Treatment Plants

Service Offering — Not a Deployed Case Study Applied AI Cloud Sensors & IIoT 2025

A sensor, AI and cloud-based monitoring capability I designed and now offer to wastewater treatment plants (PTAR) — the most recent step in my career's progression from PLC-level control into AI-driven industrial monitoring, built on the same instrumentation-to-decision systems approach used across two decades of automation projects. This page describes a service offering built in 2025; the figures below are the offering's projected benefits, not results measured on a completed deployment.

Value Proposition

  • Measures and controls key process variables in a wastewater treatment plant using advanced sensors, AI and cloud storage.
  • Optimizes plant operation, improving efficiency and reducing operating costs, built on technologies used in internationally certified treatment plants.

Key Functionality

  • Continuous, multi-point 24/7 monitoring of pH, ORP and turbidity at the plant's inlet, outlet and critical zones.
  • Integration with existing industrial supervision platforms to centralize decision-making.
  • Predictive analytics with AI algorithms that anticipate deviations, optimize processes and simulate scenarios.
  • Cloud storage with remote access to historical data, automated reports and KPI tracking.

Variables Monitored

  • pH, ORP (redox potential), turbidity
  • BOD5 / COD, total suspended solids (TSS)
  • Residual chlorine, conductivity
  • Total nitrogen / phosphorus, sulfates
  • Flow, pressure, temperature

Delivery Approach

  • Operational diagnosis to identify critical consumption areas.
  • Sensor installation and calibration, plus continuous 24/7 monitoring.
  • Engineering pre-project proposal based on collected data, with corrective actions.
  • Post-implementation follow-up, measuring real efficiency results.