Image File Management Scoring for Storage Space Optimization
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Solution Overview
Problem
Existing image file management methods delete important image files stored earlier, leading to inconvenience as they are removed before being viewed, due to limited storage space caused by increasing file sizes.
Innovation Solution
An image file management method that sets first and second scores for each image file based on file size and storage time, respectively, and performs selective deletion based on these scores to prioritize less important files for removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If image files stored at earlier time are completely deleted to make storage space for new files, then storage space management is improved, but important image files may be deleted before being viewed causing user inconvenience
Solution Approach 1:
The patent changes the deletion criterion from a simple time-based parameter to a composite scoring parameter that includes file size, storage time, and importance weight. This allows the system to differentiate between important and unimportant files, deleting only those with low scores while preserving important files even if they are older.
Solution Approach 2:
The system automatically evaluates and deletes files based on predefined scoring criteria without requiring manual user intervention. The file management unit autonomously determines which files to delete by calculating scores and comparing them against deletion thresholds, making the storage management process self-service oriented.
2Manufacturing precision
If high resolution image files are stored, then image quality is improved, but file size rapidly increases causing storage space to be insufficient
Solution Approach 1:
The patent introduces a scoring mechanism that considers file size as one of the key parameters. By calculating a composite score that includes file size, storage time, and importance weight, the system can identify and delete large files that are less important, thereby managing storage space while preserving high-quality important images.
3Reliability
If selective deletion based on multiple parameters is implemented, then important files are preserved, but system complexity increases
Solution Approach 1:
The patent implements a scoring system that combines multiple parameters (file size, storage time, importance weight) into a single composite score. This approach maintains reliability by accurately identifying files for deletion while managing complexity through a unified scoring mechanism rather than multiple independent decision rules.
Solution Approach 2:
The system uses feedback from the scoring evaluation to automatically adjust which files are deleted. The file management unit continuously monitors file characteristics, calculates scores, and makes deletion decisions based on the feedback from this evaluation process, improving reliability while keeping the system manageable through automated feedback loops.
Data Source
AI summary
An image file management method is applied to an image storage device. A plurality of image files is stored in the image storage device. The image file management method includes setting a first score of each image file according to a file size of each image file, setting a second score of each image file according to a storage time of each image file, and performing selective deletion of each image file according to the first score and the second score of each image file.