Electricity Meter Self-Verification via Load Pattern Analysis
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Solution Overview
Problem
Existing electricity meters sometimes fail to provide accurate readings or register false data, leading to inefficiencies in monitoring and billing, particularly due to the need for manual labor to detect and validate meter accuracy, which can be time-consuming and incomplete.
Innovation Solution
An electronic electricity meter system that includes a load tracker to detect individual load patterns, an accuracy analyzer to compare these patterns against reference patterns, and a notifier to send alerts for potential faults, utilizing real-time data analysis and communication technologies to ensure measurement accuracy and reduce manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual reading and testing of electricity meters is performed, then measurement accuracy can be verified, but time consumption and labor costs increase significantly
Solution Approach 1:
The electricity meter performs self-verification by automatically comparing its measurements with reference values and detecting anomalies without requiring manual intervention. The meter autonomously identifies potential faults and generates alerts, eliminating the need for time-consuming manual reading and testing while maintaining measurement accuracy verification.
Solution Approach 2:
The system implements continuous feedback by comparing meter readings against reference patterns and statistical norms. When deviations exceed predetermined thresholds, the system automatically triggers alerts and notifications, enabling real-time detection of measurement inaccuracies without manual verification, thus resolving the contradiction between accuracy verification and time consumption.
2Reliability
If random sampling of meters is performed for testing, then some faults can be detected, but the certainty level remains insufficient for comprehensive validation
Solution Approach 1:
The system enables continuous monitoring and verification of all electricity meters rather than periodic random sampling. By continuously comparing measurements against reference patterns and statistical benchmarks, the system achieves comprehensive validation of every meter in the network, eliminating the uncertainty inherent in sampling approaches while maintaining high productivity through automated operations.
Solution Approach 2:
The system establishes predetermined thresholds and reference patterns in advance for what constitutes normal versus anomalous meter behavior. This preliminary configuration enables automatic detection of faults across all meters without requiring sequential manual testing, achieving both high reliability in fault detection and complete validation coverage simultaneously.
3Reliability
If replacement of suspected faulty meters with reserve units is performed, then service continuity is maintained, but operational complexity and costs increase
Solution Approach 1:
The system detects and alerts about potential meter faults before they cause complete failure or significant measurement errors. By identifying anomalies early through continuous comparison with reference patterns, the system enables proactive maintenance and targeted replacement only when necessary, rather than preemptively replacing all suspected meters. This approach maintains service continuity while significantly reducing operational complexity compared to blanket replacement strategies.
Data Source
AI summary
An electronic electricity meter (102) for monitoring electrical power consumption due to a plurality of loads, comprising electric power sensor (506A, 506, 502, 504, 508) configured to register, optionally in a substantially real-time fashion, data indicative of aggregate power demand (202) of a number of loads coupled to a common electrical power source, such as one or more phases of a polyphase system, load tracker (506B, 506, 502, 504) configured to detect the effect of individual loads on the basis of distinctive load patterns in said data, wherein the tracker is configured to utilize a distinctive load pattern detected in said data as at least a basis for a reference pattern (304, 306, 308) for subsequent detections (304a, 306a, 308a) of the effect of the same load in the data, accuracy analyzer (506C, 506, 502, 504) configured to, on the basis of comparisons of subsequent detections with the corresponding references, determine (312, 314, 316) whether the comparisons relating to at least two, preferably three, loads each indicate the difference between the subsequently detected pattern and the corresponding reference exceeding a predetermined threshold, and notifier (506D, 506, 502, 504, 508) configured to send, provided that positive determination has taken place (318), a notification signal indicative of potential fault with the electricity meter towards an external entity (106, 108). Corresponding arrangement and method are presented.