Fuel Dispensing Anomaly Detection for Unauthorized Flow Stops
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Solution Overview
Problem
Conventional fuel dispensing terminals lack effective anomaly detection mechanisms, allowing malicious devices to manipulate fuel flow readings, leading to unauthorized fuel access and potential damage to terminal components.
Innovation Solution
A system comprising a processor and memory that detects anomalies by comparing measured fuel volume per unit time with a threshold, communicating an electronic signal to stop the dispensing operation if the measured volume is below the threshold, and retrieving video feeds for investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional fuel dispensing terminals are used without anomaly detection mechanisms, then the system is simple and easy to operate, but the system allows malicious devices to manipulate fuel flow readings leading to unauthorized fuel access and potential damage to terminal components
Solution Approach 1:
The system continuously monitors fuel flow readings and compares them against expected parameters, providing real-time feedback to detect anomalies. When a discrepancy is detected (such as unusual flow rates or patterns), the system triggers alerts and can automatically terminate dispensing operations, creating a closed-loop control system that enhances measurement reliability without requiring complex manual intervention
Solution Approach 2:
The patent replaces purely mechanical metering systems with an integrated electronic monitoring and detection system that uses sensors, processors, and communication interfaces to detect and respond to anomalies, transitioning from mechanical measurement to electronic intelligence-based measurement and control
2Reliability
If the system implements real-time anomaly detection and stops dispensing operations when anomalies are detected, then unauthorized fuel access is prevented, but the system requires additional processing power and computational resources
Solution Approach 1:
The system implements monitoring at strategic intervals and triggers full anomaly analysis only when specific conditions are met (such as unusual flow patterns or threshold violations), rather than continuously analyzing all data streams at maximum capacity, thus providing strong security with optimized energy consumption
Solution Approach 2:
The system dynamically adjusts monitoring parameters and thresholds based on operating conditions, fuel types, and dispensing rates, allowing the detection algorithm to operate more efficiently by adapting to current system state rather than using fixed high-power processing requirements
3Measurement precision
If the system monitors fuel flow at multiple predetermined intervals and compares measurements, then anomaly detection accuracy is improved, but the system requires more frequent measurements increasing operational complexity
Solution Approach 1:
The monitoring process is divided into discrete time intervals with specific measurement points, allowing the system to break down continuous monitoring into manageable segments. Each interval has defined start and end points with specific measurement actions, simplifying the management of frequent measurements through structured temporal segmentation
Solution Approach 2:
The system employs periodic monitoring at predetermined intervals rather than continuous monitoring, creating a rhythmic pattern of measurement and analysis. This periodic approach maintains high detection accuracy by sampling at critical moments while reducing overall system complexity compared to continuous real-time analysis
Data Source
AI summary
A system detects a fuel dispensing operation that indicates fuel is being dispensed from the fuel dispensing terminal. The system determines an identifier value associated with a volume of fuel dispensed from the fuel dispensing terminal. The system determines a measured volume per unit time parameter associated with the fuel dispensed from the fuel dispensing terminal by dividing the determined identifier value by a unit parameter. The system compares the measured volume per unit time parameter with a threshold volume per unit time parameter. In response to determining that the measured volume per unit time parameter is less than the threshold volume per unit time parameter, the system communicates an electronic signal to the fuel dispensing terminal that instructs the fuel dispensing terminal to stop dispensing fuel.