IOT – Enabled Aeration Basin Monitoring and Control System

Our goal is to create a smart aeration basin monitoring system that:

  • Tracks critical parameters such as DO, pH, temperature, ammonia, TSS, flow rate, and sludge level.
  • Automates blower and device controls to optimize energy use.
  • Enables real-time remote monitoring and triggers alerts for unusual conditions.
IOT – Enabled Aeration Basin Monitoring and Control System

Sensor Integration and Placement

Critical Parameters and Sensors

Parameter Sensor Purpose Placement
Dissolved Oxygen (DO) IoT-compatible DO Sensor Monitors oxygen for microbial activity Near aeration diffusers (~1-2 ft below surface)
pH IoT pH Sensor Tracks acidity/alkalinity for suitable discharge At the outlet
Temperature IoT Temperature Sensor Ensures water temperature supports biological activity Submerged in the center of the basin
Ammonia/Nitrate Ammonia/Nitrate Sensor Monitors nitrogen levels for treatment Mid-basin or near the effluent
TSS (Turbidity) TSS Sensor Evaluates suspended solids and treatment efficiency Near the outlet
Flow Rate Flow Meter Monitors water flow entering and exiting On inlet and outlet pipes
Sludge Level Sludge Blanket Sensor Tracks sludge depth to prevent overflow Bottom-center of the basin

IoT-Enabled Equipment

Hardware Requirements:

  • Sensors: IoT-enabled sensors with Wi-Fi, LoRaWAN, or Bluetooth capabilities.
  • IoT Gateway: Raspberry Pi, ESP32, or LoRaWAN gateway for data collection.
  • Cloud Platform: ThingSpeak (free), Blynk, or Ubidots for storage and visualization

Installation and Integration

Sensor Installation

  • Secure submersible sensors using brackets or clamps.
  • Follow manufacturer guidelines for positioning and calibration.

Connect Sensors to Gateway

  • Wired Sensors: Use analog-to-digital converters if necessary.
  • Wireless Sensors: Connect via Wi-Fi, LoRa, or Bluetooth.

Setting Up IoT Connectivity

Configure the Gateway

  • Use Raspberry Pi with software like Node-RED for data handling.
  • Connect the gateway to a local Wi-Fi network.

Send Data to the Cloud

  • Use APIs like ThingSpeak’s REST API to send sensor data.
  • Create separate data channels for each parameter.

Design Dashboards

  • Visualize data using graphs for DO, pH, temperature, etc.
  • Enable real-time updates and configure thresholds for alerts.

Automate Alerts and Controls

Set Alerts:

  • DO < 2 mg/L: Alert to increase blower speed.
  • pH < 6.5 or > 8.5: Adjust chemical dosing.
  • High sludge blanket: Trigger sludge removal alert.

Integrate Controls:

  • Configure the gateway to control actuators (e.g., blowers, valves).
  • Example: Increase blower speed automatically when DO drops.

Testing the System

  • Simulate various conditions to ensure proper operation of sensors and alerts.
  • Example: Manually reduce DO to verify blower response.

Monitoring and Maintenance

Regular Maintenance:

  • Clean DO, pH, and TSS sensors monthly to prevent fouling.
  • Calibrate sensors periodically as per manufacturer instructions.

Dashboard Monitoring:

  • Continuously review data trends for early detection of issues.