IoT-Based Water Management System

System Snapshot

System Architecture

• 1

  Hardware Sensing

  ESP32 continuously reads water flow rate, temperature, current, and voltage from physical sensors.

• 2

  Data Transmission

  Data is securely transmitted to the Python backend through an API/websocket pipeline in real-time.

• 3

  Intelligent Processing

  The Model-Based Reflex Agent evaluates current thresholds and historical state transitions to determine the next optimal state.

• 4

  Actuation

  Backend sends precise control commands to the relay channel (ON/OFF/AUTO/SAFETY) to manage the motor.

• 5

  Operator Visibility

  The web dashboard receives live telemetry and action logs, providing operators with full situational awareness.

Visual Walkthrough

Authentication Screen

Secure entry portal with role-based access control. Ensures only authorized operators can access motor controls and live telemetry.

Security First Design

Live Operations Dashboard

Real-time situational awareness displaying stage state, flow, temperature, and motor current. Highlights staged motor logic states.

Real-time Monitoring

Gauge + Relay Control

Hybrid interface combining measured output with direct relay actions. Allows manual override while agent handles autonomous runtime.

Hybrid Control System

Flow Trend Analytics

Time-series visualization for post-run analysis, threshold tuning, and anomaly detection. Proves motor response and pipeline behavior.

Data-Driven Insights

Hardware Prototype Board

End-to-end integration proof featuring ESP32 controller, relay module, and sensor wiring. Validates physical to software connection.

Physical Integration

Resources & Access