Vehicle Loading Procedure Using 3D Space and Product Fit
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Solution Overview
Problem
Existing techniques for loading packages into vehicles, such as automobiles, are inefficient as they do not account for varying space availability and existing packages, leading to potential loading inconveniences.
Innovation Solution
A method executed by an information processing device that acquires vehicle and product information to decide and notify a loading procedure, optimizing the use of available space by considering the three-dimensional shape and dimensions of both the vehicle's empty space and the product, thereby reducing the likelihood of loading issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional loading techniques are used without considering vehicle space availability and existing packages, then the loading process is simple, but the loading efficiency and success rate deteriorate due to insufficient space consideration
Solution Approach 1:
The system performs preliminary analysis of vehicle space availability and existing package configurations before executing the loading process. By pre-calculating optimal loading procedures and identifying potential space conflicts, the system ensures efficient loading execution without requiring complex real-time decision-making during the actual loading operation.
Solution Approach 2:
The information processing device acts as an intermediary between the user and the loading process. It receives vehicle information and package data, processes this information to determine optimal loading procedures, and provides guidance to the user. This intermediary layer handles the complexity of space optimization algorithms while presenting simple, actionable instructions to the end user.
2Reliability
If the loading procedure considers three-dimensional shape and dimensions of vehicle empty space and product, then the loading success rate improves, but the information processing complexity increases
Solution Approach 1:
The system replaces complex manual spatial reasoning and trial-and-error loading attempts with automated information processing algorithms. By substituting human cognitive effort with computer-based three-dimensional space analysis, the system achieves high loading success rates while the computational complexity is managed through structured data representation and systematic processing methods.
Solution Approach 2:
The system transforms the physical loading problem into a computational problem by representing vehicle space and package dimensions as quantifiable parameters. By converting three-dimensional spatial relationships into numerical data that can be processed algorithmically, the system maintains high reliability in loading decisions while managing information processing complexity through parameterized models rather than raw geometric calculations.
3Manufacturing precision
If the system acquires and processes detailed vehicle and product information, then the loading procedure accuracy improves, but the data acquisition time and processing load increase
Solution Approach 1:
The system collects and stores vehicle information and package data in advance, before the actual loading operation is needed. By pre-acquiring three-dimensional shape data, dimensions, and other relevant parameters, the system reduces the time required during the actual loading process while maintaining high accuracy in procedure determination.
Solution Approach 2:
The system creates digital representations (copies) of the vehicle interior space and package geometries. Instead of requiring physical measurement and analysis during loading, the system uses pre-created digital models and data copies that can be rapidly processed. This copying approach maintains high loading procedure accuracy while significantly reducing data acquisition time during the actual loading operation.
Data Source
AI summary
A method that is executed by an information processing device includes acquiring first information regarding a vehicle, acquiring second information regarding a first product selected by a user, deciding a procedure for loading the first product into the vehicle based on the first information and the second information, and performing notification of the procedure for loading the first product.