Vehicle Fuel Theft Detection Using Activity-Based Thresholds
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Solution Overview
Problem
Existing systems for preventing fuel theft from vehicles, such as fuel cap locks and anti-siphon devices, are inadequate as thieves can easily circumvent them, leading to substantial financial losses.
Innovation Solution
A fluid theft prevention system that includes a computing device connected to sensing systems for activity and fuel level detection, determining confidence values based on activity data, and triggering mitigation actions when suspicious activity is detected or fuel levels decrease, with varying severity levels of alarms and alerts based on confidence values and driver proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If simple physical barriers like fuel cap locks and anti-siphon devices are used, then the device complexity is low, but the reliability of theft prevention is insufficient as thieves can easily circumvent them
Solution Approach 1:
The patent replaces mechanical theft prevention devices (fuel cap locks, anti-siphon devices) with an electronic monitoring system that uses sensors to detect activity near the fuel tank, processes data to determine confidence values, and triggers mitigation actions. This substitution provides more reliable theft prevention while maintaining manageable system complexity through electronic rather than mechanical means.
Solution Approach 2:
The patent introduces a computing device as an intermediary between the physical fuel tank and the response mechanisms. The computing device receives activity data from sensing systems, processes this data to determine confidence values, and coordinates mitigation actions based on fluid level changes. This intermediary layer enables intelligent decision-making that improves reliability without requiring direct complex mechanical interventions.
2Reliability
If a fixed threshold for fluid level decrease is used to trigger alarms, then the ease of operation is high, but the reliability of theft detection is reduced due to false alarms from normal consumption
Solution Approach 1:
The patent implements dynamic threshold adjustment based on the confidence value derived from activity data. When suspicious activity is detected (high confidence value), the threshold for triggering mitigation actions is lowered, allowing the system to respond to smaller fluid level decreases. When no suspicious activity is present (low confidence value), the threshold remains higher to accommodate normal fuel consumption. This dynamic approach improves theft detection accuracy without requiring manual threshold adjustments.
Solution Approach 2:
The patent uses feedback from the sensing system that monitors activity near the fuel tank to continuously adjust the threshold for triggering alarms. The system processes activity data to generate confidence values, which then feed back into the decision-making process for setting appropriate thresholds. This feedback mechanism enables the system to distinguish between normal fuel consumption and potential theft, improving detection accuracy while maintaining ease of operation through automatic adjustment.
3Reliability
If continuous monitoring of activity near the fluid tank is implemented, then the reliability of theft detection is improved, but the use of energy by the sensing system increases
Solution Approach 1:
The patent implements periodic or event-triggered monitoring rather than truly continuous monitoring. The sensing system periodically checks for activity near the fuel tank and processes data to determine confidence values. The system can be triggered by specific events such as vehicle ignition, scheduled intervals, or when certain conditions are met, rather than operating continuously. This periodic approach maintains reliable theft detection while significantly reducing energy consumption compared to constant monitoring.
Solution Approach 2:
The patent changes the operational parameters of the sensing system based on detected conditions. When suspicious activity is detected (high confidence value), the system increases monitoring intensity and frequency. When no suspicious activity is present, the system reduces monitoring to lower energy consumption states. This parameter adjustment enables the system to maintain high reliability when needed while conserving energy during normal operation, resolving the contradiction between detection accuracy and energy use.
Data Source
AI summary
A fuel theft prevention system for a vehicle including: at least one processor; and a memory, operatively connected to the at least one processor and storing instructions that, when executed by the at least one processor, cause the system to: receive, from a first sensing system, first activity data; determine, based on the first activity data, a first confidence value indicative of whether the activity is suspicious; receive fuel data indicative of a fuel level in the fuel tank; and cause, based on the first activity data and the fuel data, at least one mitigation action to be taken when the fuel level decreases by a threshold amount, wherein the threshold amount includes a first amount when the first confidence value is a first value and a second amount when the first confidence value is below the first value, and wherein the second amount is greater than the first amount.