Priority-Based Data Saving for Board Working Machines
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Solution Overview
Problem
Existing data-saving systems for board working machines face challenges in efficiently managing storage destinations, leading to excessive deletion of important files and inefficient use of storage capacity, especially when the storage section configuration changes.
Innovation Solution
A data-saving system that includes a data-saving section, a standard storage section, an additional storage section that can be added or removed, a degree-of-priority setting section, and a save destination control section. This system controls the save destination of data based on set priorities and refers to conditions such as the presence of additional storage, storage capacities, and configuration changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If files are distributed and stored in storage volumes based on calculated storage requirements and reliability characteristics, then file storage optimization is achieved, but the system cannot flexibly adapt when storage section configuration changes or additional storage sections are added
Solution Approach 1:
The patent implements dynamic storage management by continuously monitoring storage usage states and automatically adjusting file distribution strategies. The system adapts to configuration changes and storage exhaustion conditions in real-time, transitioning from static to dynamic control to maintain optimal storage utilization without requiring complex manual reconfiguration.
Solution Approach 2:
The system employs self-service mechanisms through automated monitoring and control that detect storage exhaustion conditions and trigger appropriate responses without administrator intervention. The storage management system serves itself by automatically identifying when additional storage sections should be utilized or when files should be redistributed, eliminating the need for complex manual management.
2Quantity of substance
If old files are deleted when unused area of a volume is exhausted, then storage space is recovered, but important files may be excessively deleted while unimportant files occupy excessive space
Solution Approach 1:
The patent applies local quality by differentiating between important and unimportant files through priority levels, and applying different storage management strategies to different file types. High-priority files are protected from deletion even when storage is exhausted, while low-priority files are candidates for deletion or migration. This localized quality control ensures that storage space is recovered without excessively deleting important files.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring storage usage states and file priority levels, then using this information to make intelligent decisions about file deletion and migration. The feedback loop ensures that deletion decisions are based on current storage conditions and file importance, preventing excessive deletion of critical files while effectively managing storage capacity.
3Reliability
If high priority data is preferentially saved in storage sections, then data retention reliability is improved, but storage capacity efficiency decreases when storage sections are exhausted
Solution Approach 1:
The patent segments the storage system into multiple storage sections with different characteristics and priority levels. By dividing the storage infrastructure into distinct segments, the system can allocate high-priority data to reliable storage sections while maintaining overall storage capacity efficiency through intelligent distribution across multiple segments. This segmentation allows simultaneous optimization of both reliability and capacity utilization.
Solution Approach 2:
The system adds another dimension to storage management by incorporating priority levels and storage section characteristics into the decision-making process. Instead of simple first-come-first-served storage, the patent uses a multi-dimensional approach that considers file priority, storage capacity, and reliability characteristics simultaneously, achieving both high data retention reliability and efficient storage capacity utilization.
Data Source
AI summary
A data-saving system includes a data-saving section to acquire and save multiple pieces of data generated when a board working machine performs a board work, a standard storage section that is a candidate for a save destination for saving the data, an additional storage section that is capable of being added to the system and removed from the system, the additional storage section being a candidate for the save destination for saving the data, a degree-of-priority setting section to set a degree of priority for saving for each of the multiple pieces of data based on an execution state of the board work when the data is generated, and a save destination control section to control the save destination of the data based on the set degree of priority while referring to one or more conditions of a condition of presence or absence of the additional storage section.