Lock Sequence Matrix Tower Conflict Identification
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Solution Overview
Problem
Conventional lock sequence management processes are unable to effectively address lock sequence conflicts that arise when multiple objects attempt to access the same data with overlapping lock sequences, leading to inefficiencies and inaccuracies in combining lock sequences.
Innovation Solution
A computer-implemented method that generates lock sequence matrix towers for each lock sequence, combines these towers to identify cross points, and adjusts lock sequences to resolve conflicts by moving locks to different matrix levels within a combined lock sequence matrix tower, allowing for efficient identification of lock sequence conflicts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional lock sequence management processes are used to handle multiple objects accessing the same data, then the system can maintain simple lock management, but lock sequence conflicts cannot be effectively identified and resolved
Solution Approach 1:
The patent segments the lock sequence analysis by creating separate matrix towers for each lock sequence, then combining them to identify conflicts. Each matrix tower represents a discrete lock sequence, and the combination process systematically identifies cross points (conflicts) between sequences. This segmentation approach enables precise conflict identification without requiring complex global analysis of all lock sequences simultaneously.
Solution Approach 2:
The patent introduces matrix towers as an intermediary data structure to represent lock sequences. These matrix towers serve as mediators between the raw lock sequences and the conflict identification process. By transforming lock sequences into matrix tower representations, the system can efficiently identify conflicts through matrix combination operations rather than directly analyzing lock sequence relationships.
2Productivity
If multiple lock sequences are combined using conventional methods, then the processing can be straightforward, but the accuracy of identifying lock sequence conflicts deteriorates
Solution Approach 1:
The patent transforms lock sequence data into a multi-dimensional matrix tower structure, adding dimensional organization to the previously flat lock sequence representation. Each matrix tower introduces new dimensions (rows, columns, levels) that systematically organize lock information, enabling both efficient processing and accurate conflict detection through matrix operations.
Solution Approach 2:
The patent changes the representation parameters of lock sequences by converting them into matrix towers with specific structural parameters (matrix dimensions, levels, cross points). This parameter transformation enables the system to process lock sequences efficiently while maintaining high accuracy in conflict detection, as the matrix structure naturally highlights conflicts through its organizational properties.
3Reliability
If lock sequences are adjusted by moving locks to different matrix levels, then lock sequence conflicts can be resolved, but the complexity of lock sequence management increases
Solution Approach 1:
The patent introduces dynamic adjustment capabilities to the lock sequence management system. Locks can be moved between different matrix levels within matrix towers based on conflict detection results. This dynamic reorganization allows the system to adaptively resolve conflicts by restructuring lock sequences, improving reliability while maintaining manageable complexity through systematic adjustment rules.
Data Source
AI summary
A method, computer program product, and computing system for receiving a plurality of lock sequences associated with a plurality of objects of the computing device. A plurality of matrices may be generated for each lock sequence of the plurality of lock sequences, thus defining a plurality of lock sequence matrix towers. The plurality of lock sequence matrix towers may be combined, thus defining a combined lock sequence matrix tower. One or more lock sequence conflicts may be identified within the plurality of lock sequences based upon, at least in part, the combined lock sequence matrix tower.