Real-time Monitoring • AI-Driven Prediction • Early Alerts • Infrastructure Safety
Underground pipelines carrying freshwater, sewage, oil, and gas often fail without warning.
These hidden bursts cause:
- 💧 Massive loss of treated resources
- 🌱 Severe environmental damage (soil erosion, groundwater contamination)
- 💰 Heavy financial losses for utilities and governments
⚠️ Safety risks to humans, animals, and infrastructure
Current systems are reactive, manual, or expensive — problems are detected only after visible damage.
IntelliPipe is an industrial-grade IoT + AI platform that enables:
- 📡 Continuous real-time monitoring of underground pipelines
- 🤖 Predictive analytics to detect anomalies before bursts occur
- 🚨 Instant alerts for operators with precise zone/segment identification
- 📊 Actionable dashboards for operations and maintenance teams
Predict. Prevent. Protect.
- Pressure sensors (4–20 mA / RS485)
- pH sensors (water quality monitoring)
- Level sensors (non-intrusive)
- Rotary encoders (for existing mechanical flow meters)
- LoRa / MQTT-based data pipeline
- Works in remote and underground environments
- Low power, long range, scalable
- Sensor fusion (pressure + flow + level)
- Anomaly detection & burst prediction
- Reduced false alarms using filtering & thresholds
- Live pipeline health by zone/segment
- Alert history & system status
- Designed for control rooms & field teams
- 🚰 Water Utilities / TWAD Boards
- 🛢️ Oil & Gas Transmission Operators
- 🚽 Sewage & Wastewater Authorities
- 🏭 Industrial Infrastructure Operators
- Modular IoT nodes
- Non-intrusive installation
- No cameras • No personal data • Fully compliant
- Hardware: ₹9,000 – ₹14,000 per node (scaled production)
- Software: ₹500 – ₹1,500 per node / month (analytics & alerts)
- Reduced water/resource loss
- Lower emergency repair costs
- Improved asset life & maintenance planning
- Reduced environmental & safety risk exposure
- 📍 Scope: 1–2 km pipeline stretch
- 📦 Deployment: 8–10 sensor nodes
- ⏱️ Timeline: 3–4 weeks
- 📊 KPIs: Detection time, accuracy, uptime, false-alert rate
- ❌ No cameras
- ❌ No personal or consumer data
- ✅ Only physical pipeline parameters
- ✅ Safe for government & industrial deployment
- Low-cost industrial microcontrollers (ESP32 / STM32)
- Mature LoRa & MQTT ecosystems
- Increasing pressure on utilities to reduce losses
- Strong push for smart infrastructure & sustainability
- Hardware: ESP32 / STM32, Industrial Sensors, LoRa
- Protocols: MQTT, HTTP
- Backend: Cloud APIs, AI/ML models
- Frontend: Web dashboard (real-time)
- Power: Solar + rechargeable battery with BMS
- Pilot access to real pipeline infrastructure
- Technical feedback from utilities & operators
- Hardware / cloud credits or seed funding
- Partnerships with utilities, EPCs, and integrators
- IoT & Hardware Systems – Architecture, sensors, deployment
- AI & Analytics – Prediction models & alerting
- Cloud & Dashboard – Data pipelines & visualization
- Research & Validation – Field studies & documentation
📧 Email: damnash@gmail.com 🌐 Website: coming soon
IntelliPipe — Predict Failures Before They Break the World 🌍