Problem Statement
Pipelines transporting water, oil, gas, or chemicals often operate without real-time visibility into internal conditions.
Leakages, blockages, and pressure drops go undetected, leading to losses, safety risks, and operational inefficiencies.
Ground Reality
Across industrial and municipal pipeline systems, the following issues are commonly observed:
- Leakages that remain undetected for long durations
- Pressure drops without clear diagnosis
- No correlation between flow rate and pipeline condition
- Manual inspections which are time-consuming and unreliable
Key Insight: Monitoring only flow or only pressure is insufficient — their relationship reveals the true pipeline condition.
Solution Approach
Hexitronics proposes a robust 2-sensor IoT solution integrating:
- Pressure Sensor: Monitors internal pipeline pressure
- Flow Sensor: Measures flow rate of fluid in the pipeline
The IoT device captures both parameters and transmits data securely over 4G to a cloud platform for continuous monitoring and analysis.
Sensor Logic (Core Intelligence)
- Flow high + Pressure drop → Possible leakage
- Pressure high + Flow low → Possible blockage
- Pressure fluctuations → Pipeline instability
- Consistent deviation from baseline → System inefficiency
System Architecture
[ Architecture Diagram Placeholder ]
IoT Device → Pressure & Flow Sensors → 4G → Cloud → Dashboard
Key Features
- Real-time pressure and flow monitoring
- Leakage and blockage detection
- Pipeline performance analytics
- Battery / solar powered remote deployment
- Secure cloud communication
Future Dashboard & Analytics
Advanced monitoring dashboard will provide:
- Pressure vs flow trend analysis
- Leakage alerts and reports
- Pipeline efficiency metrics
- Historical performance data
- Predictive failure insights (future upgrade)
Benefits
- Early detection of leakages
- Reduction in product loss
- Improved safety and compliance
- Optimized pipeline performance
- Reduced manual inspection efforts
Deployment Strategy
Step 1: Install sensors at critical pipeline points
Step 2: Establish baseline pressure-flow relationship
Step 3: Scale monitoring across network