UPPCL Meter Data Analytics Tool for PVVNL, a web-based platform with role-based access, enables meter data analysis, including energy, load profile, and tamper data. Users can filter reports on energy loss, visualize consumption patterns, and detect inefficiencies. The tool flags potential energy theft, serializes meter data into timelines, and presents it in graphical and tabular formats. It also provides consumer energy history and identifies theft cases effectively.
Objectives
- MRI Analysis Tool for real-time meter data analysis
- Automate energy theft detection, billing, and loss tracking.
- Generate reports on energy loss, tamper cases, and theft-prone areas.
- Automate energy theft detection, billing, and loss tracking.
The Challenges
⮞ Data Processing: Converting raw meter data into a structured format requires significant resources and time, especially with large datasets.
⮞ Scalability & Performance: Ensuring the system scales efficiently to handle increasing data volumes while maintaining fast performance.
⮞ Data Integrity & Accuracy: Maintaining accurate readings and detecting discrepancies, especially with tampering, requires robust validation methods.
⮞ Complex Reporting & Real-Time Processing: Generating detailed reports in real-time under heavy load conditions requires reliable infrastructure.
Solutions:
⮞ Continuous Meter Data Collection and Seamless Upload.
⮞ Secure Bulk Data Storage and Seamless Cloud Integration.
⮞ Scalable Microservices Architecture for Enhanced Data Management.
⮞ Dedicated Microservices for Optimized Use Case Management.
⮞ Handling Large Data Processing and Transformation.
⮞ Optimized Traffic Distribution with Azure Load Balancer.
⮞ Optimizing Big Databases for Scalable Performance.
⮞ Access Control System for Secure Operations.
⮞ Consumer Segmentation & AI/ML Techniques.
The Results
- Successful transfer and storage of meter data via BCS and SMRITI software, ensuring data integrity.
- Generation of comprehensive reports on load surveys, tamper analysis, consumption history, and violations.
- Identification and flagging of consumers for further investigation.
- Real-time tracking of MRI, billing, and meter exceptions with live status updates
- Delivery of data and reports in both hard and soft copy formats.
- Automated flagging of potential energy theft and tracking of meter anomalies.
- Continuous monitoring of energy flow patterns for early detection of inefficiencies.
