Dynamic Tank Strapping Chart Update for Fuel Inventory Accuracy
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Solution Overview
Problem
Current systems for monitoring and reconciling fuel inventory in underground storage tanks face challenges in accurately correlating liquid level measurements with volume due to tank deformation, soil subsidence, and temperature-induced volume changes, leading to errors in piston flow meter calibration and inefficient recalibration processes.
Innovation Solution
An automated fuel inventory monitoring system that uses a liquid densitometer to measure fuel density in real-time, combined with accurate tank depth measurements, to update the tank strapping chart and monitor piston flow meter accuracy, accounting for temperature-induced volume variations and tank geometry changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional strapping charts are used to correlate depth to volume, then initial measurement accuracy is achieved, but accuracy deteriorates over time due to tank deformation and soil subsidence
Solution Approach 1:
The system transitions from static strapping charts to dynamic, continuously updated depth-to-volume correlations. The microprocessor automatically recalibrates the correlation using real-time depth measurements and volumetric calculations, adapting to tank deformation and soil subsidence over time without manual intervention.
Solution Approach 2:
The system implements feedback by comparing measured depth values against calculated volumetric values and using the discrepancy to automatically adjust and update the strapping chart. This closed-loop feedback mechanism ensures continuous accuracy despite changing tank conditions.
2Measurement precision
If frequent manual recalibration of flow meters is performed, then measurement accuracy is maintained, but operational efficiency decreases
Solution Approach 1:
The system performs self-calibration by automatically comparing depth-based volume calculations with flow meter readings and adjusting calibration factors without external intervention. This eliminates the need for frequent manual recalibration while maintaining accuracy.
Solution Approach 2:
The system replaces manual mechanical recalibration processes with automated electronic calibration using microprocessor-based calculations and software updates, significantly reducing operational overhead.
3Measurement precision
If complex equations are used to convert depth measurements to volume, then theoretical accuracy is improved, but system complexity increases
Solution Approach 1:
The system replaces complex mathematical equations with empirical strapping chart data and automated calibration factors stored in memory. The microprocessor retrieves pre-calculated correlation data rather than performing complex real-time calculations, simplifying the system while maintaining accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system enhances the accuracy of fuel inventory reconciliation, detects piston flow meter drift, and reduces the need for frequent recalibrations by continuously updating the tank strapping chart, thereby improving the efficiency and reliability of fuel dispensing operations.
Implementation Method 1
uses a liquid densitometer to measure fuel density in real-time
Data Source
AI summary
An automated liquid inventory monitoring and inventory reconciliation system. The system uses a liquid densitometer to precisely measure the density of liquid being dispensed. This allows the system to account for the significant temperature-induced volume variations existing in common liquids such as gasoline. In the preferred embodiments, a fuel inventory processor tracks the quantity of fuel loaded into the tank and the quantity of fuel dispensed to maintain an ongoing computation of the quantity of fuel that should be present in the tank. An accurate tank depth measurement device is also employed. The processor compares the tank depth measurement to the computed quantity of fuel in the tank and uses the values to create an updated tank strapping chart.