Fuel Prediction Model Correction via Actual Measurement Feedback
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Solution Overview
Problem
Existing technologies fail to accurately estimate changes in a vehicle's remaining fuel amount during transport, which can lead to fuel depletion issues.
Innovation Solution
A processing apparatus and method that acquire remaining-fuel-amount prediction information and actual measurement information, and determine whether correction of the prediction model is necessary based on the comparison between these two types of information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a prediction model is used to estimate fuel consumption, then calculation efficiency is improved, but prediction accuracy deteriorates due to uncorrected model deviations
Solution Approach 1:
The patent implements a feedback mechanism where actual fuel consumption data is continuously compared with predicted values, and the prediction model is corrected based on the deviation. This allows the system to maintain both efficient calculations and accurate predictions by updating the model parameters according to actual performance data.
Solution Approach 2:
The patent adjusts prediction model parameters dynamically based on actual measurement data. By changing the parameters of the prediction model according to the deviation between actual and predicted fuel consumption, the system improves accuracy while maintaining the efficiency of the original predictive approach.
2Measurement precision
If frequent corrections to the prediction model are made, then prediction accuracy is improved, but system complexity increases
Solution Approach 1:
The patent performs preliminary correction of the prediction model by identifying and correcting data errors or model deviations before they affect subsequent predictions. This preliminary action prevents the need for frequent complex corrections later, reducing overall system complexity while maintaining accuracy.
Solution Approach 2:
The system automatically corrects its own prediction model using actual measurement data without requiring external intervention. This self-service capability simplifies the correction process and reduces the complexity that would otherwise arise from manual model adjustment and validation procedures.
3Reliability
If actual measurement data is collected and compared with prediction data, then model correction capability is improved, but data processing requirements increase
Solution Approach 1:
The patent extracts only the necessary correction information from the actual measurement data, focusing on the deviation between actual and predicted values rather than processing all raw data. This extraction approach maintains reliable model correction capability while reducing the data processing burden by concentrating on only the critical difference data.
Data Source
AI summary
The present invention provides a processing apparatus (10) including a prediction information acquisition unit (11) that acquires remaining-fuel-amount prediction information indicating a change in a predicted value of a remaining amount of fuel in a vehicle while traveling based on a transport plan is performed and being produced based on a prediction model, an actual measurement information acquisition unit (12) that acquires remaining-fuel-amount actual measurement information indicating a change in an actual measurement value of a remaining amount of fuel in the vehicle while traveling based on the transport plan is performed, and a determination unit (13) that determines, based on the remaining-fuel-amount prediction information and the remaining-fuel-amount actual measurement information, whether correction of the prediction model is necessary.