Problem Statement
Industries and utilities often lack real-time visibility into energy consumption at equipment or feeder level.
This leads to energy losses, undetected inefficiencies, and difficulty in identifying abnormal usage patterns.
Ground Reality
In most installations, energy data is either:
- Available only at main meter level (not equipment-level)
- Recorded manually with large time gaps
- Not analyzed for actionable insights
- Unavailable in real-time for decision making
Key Insight: Without real-time current and voltage data, true energy behavior of equipment remains invisible.
Solution Approach
Hexitronics proposes a simple yet powerful 2-sensor energy monitoring solution using:
- Current Sensor: Measures load current to determine actual consumption behavior
- Voltage Sensor: Captures supply conditions and voltage fluctuations
The IoT system continuously measures electrical parameters and transmits processed data to the cloud over a 4G network.
Sensor Logic (Core Intelligence)
- Current > Threshold → Equipment is ON
- Current = 0 → Equipment is OFF
- Voltage fluctuations → Supply instability
- High current with low voltage → Potential stress condition
System Architecture
[ Architecture Diagram Placeholder ]
IoT Device → Current & Voltage Sensors → 4G → Cloud → Dashboard
Key Features
- Real-time current and voltage monitoring
- Equipment-level energy visibility
- Periodic data transmission with local data logging
- Battery / mains powered options
- Secure data transmission with authentication
Future Dashboard & Analytics
The system enables advanced analytics such as:
- Energy consumption trends
- Load profiling of equipment
- Peak demand identification
- Voltage fluctuation analysis
- Energy efficiency insights
Benefits
- Improved energy efficiency
- Reduced electricity costs
- Better load management
- Early detection of abnormal consumption
- Data-driven operational decisions
Deployment Strategy
Step 1: Install at critical equipment or feeder level
Step 2: Analyze energy patterns and validate data
Step 3: Expand across entire facility or network