Wireless Power Supply Monitoring for Theft and Leakage Detection
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Solution Overview
Problem
Conventional non-contact electric power supply systems lack the ability to detect electricity theft or leakage from ground electric power supply devices.
Innovation Solution
An abnormality detection device and method that utilizes a processing unit to analyze the time-dependent change pattern of electric power supply amounts to detect electricity theft or leakage by identifying continuous or intermittent power supply patterns, considering factors like congestion and traffic jam degrees, and communicates with external organizations for intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If non-contact electric power supply is implemented without detection means, then power transmission efficiency is improved, but ability to detect electricity theft or leakage deteriorates
Solution Approach 1:
The system segments the monitoring function by introducing a separate abnormality detection device that independently analyzes power supply data. This detection device divides the power supply amount data into time-dependent change patterns, allowing efficient power transmission to continue while parallel detection monitoring occurs without interfering with the main power transmission function.
Solution Approach 2:
The abnormality detection device acts as an intermediary between the ground electric power supply device and the external environment. It receives power supply amount data from the ground electric power supply device, analyzes it for abnormalities, and can notify external entities of detected theft or leakage, thus providing detection capability without directly interfering with the power transmission process.
2Measurement precision
If time-dependent change pattern analysis is performed to detect abnormalities, then detection accuracy is improved, but processing complexity increases
Solution Approach 1:
The system applies periodic action by analyzing the time-dependent change pattern of power supply amounts at regular intervals. The abnormality detection device continuously receives power supply amount data and periodically analyzes patterns such as continuous power supply during periods when no vehicles should be present, enabling accurate detection of theft or leakage without requiring complex real-time processing of every data point.
Solution Approach 2:
The system performs preliminary action by establishing predetermined time periods and power supply thresholds before actual detection occurs. The abnormality detection device compares actual power supply patterns against these pre-established criteria, simplifying the detection process by having decision rules ready in advance rather than requiring complex real-time analysis algorithms.
3Reliability
If continuous monitoring of power supply patterns is implemented, then detection reliability is improved, but energy consumption increases
Solution Approach 1:
The abnormality detection device operates in a self-service manner by autonomously receiving power supply amount data, independently analyzing time-dependent change patterns, and automatically determining abnormalities without requiring continuous external intervention. The system uses pre-stored criteria and algorithms to self-evaluate power supply patterns, reducing the energy overhead associated with constant external monitoring and control.
Data Source
AI summary
Submitted is an abnormality detection device including a processing unit, and a communication unit that can communicate with a ground electric power supply device that transmits electric power to a vehicle in a non-contact manner. The processing unit is configured to detect electricity theft or electricity leakage in the ground electric power supply device, based on a time dependent change pattern of an electric power supply amount of the ground electric power supply device or a parameter that is correlated to the electric power supply amount, the time dependent change pattern being a time dependent change mode.