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Energy & Utilities · Workflow
Meter reading data processing
This workflow automates the processing of smart meter reading data to validate consumption patterns, detect anomalies, and update customer billing systems. It reduces manual data verification effort by 80% and identifies potential equipment issues or theft within hours.
Workflow Trigger
Smart meters upload hourly consumption data to central collection system
Visual Flow
Each node represents an automated step. Connections show how data and decisions move through the workflow.
Step-by-Step Breakdown
Detailed explanation of each automated stage in the workflow.
- 1Trigger
Receive meter reading data
Smart meters automatically transmit hourly energy consumption readings to the central data collection system. Data includes meter ID, timestamp, consumption values, and meter status indicators.
- 2Action
Validate data integrity
System performs automated checks on incoming meter data for completeness, format consistency, and reasonable value ranges. Missing or corrupted readings are flagged for manual review.
- 3Action
Analyze consumption patterns
Historical consumption data is compared against current readings to identify usage trends and seasonal variations. The system calculates baseline consumption profiles for each customer segment.
- 4Decision
Detect usage anomalies
Algorithm identifies abnormal consumption patterns such as sudden spikes, drops to zero, or readings outside statistical norms. Anomalies trigger different processing paths based on severity level.
- 5Action
Generate maintenance alerts
For detected anomalies indicating potential equipment failure or tampering, work orders are automatically created in the asset management system. Field technicians receive prioritized inspection assignments.
- 6Action
Update billing systems
Validated consumption data is transferred to customer information and billing systems for invoice generation. Rate calculations are applied based on customer tariff schedules and time-of-use pricing.
- 7Output
Deliver processed consumption reports
Final reports containing validated meter readings, anomaly summaries, and billing data are distributed to operations, customer service, and finance teams. Dashboard updates provide real-time consumption monitoring.
Outputs
- Validated meter reading database
- Automated work orders for anomalous meters
- Updated customer billing records
- Consumption pattern analysis reports
Key Metrics
- Data validation accuracy rate
- Anomaly detection precision
- Time to process meter readings
- Reduction in manual data reviews
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