Asset Modification Module for Automated Data-Driven Operations
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Solution Overview
Problem
Current communication systems face challenges in efficiently managing and modifying assets within data communication networks, particularly in handling the increasing volume and complexity of digital data across various business operations, such as inventory management and financial transactions, due to limitations in data processing and evaluation.
Innovation Solution
The implementation of an asset modification module within the communication system that utilizes operation set limit tables to monitor and modify assets based on evaluation data, allowing for automatic or user-input triggered operations such as buying, selling, or adjusting asset values, through a network of user and service provider devices connected via various networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual data processing and asset management methods are used, then system complexity is low, but productivity and efficiency deteriorate due to increasing data volume and processing requirements
Solution Approach 1:
The patent segments asset management into distinct operational sets (buying, selling, adjusting) with specific trigger conditions and evaluation criteria. Each operation set is defined in limit tables that can be independently configured and executed, allowing complex data processing to be broken down into manageable, automated segments that improve productivity without overwhelming system complexity
Solution Approach 2:
The patent implements preliminary action by pre-defining operation sets, trigger conditions, and evaluation criteria in limit tables before actual asset management tasks. This allows the system to automatically evaluate data and execute appropriate operations without manual intervention, significantly improving data processing efficiency while the structured pre-definition keeps system complexity manageable
2Productivity
If automated asset modification operations are implemented, then productivity improves through real-time data processing, but device complexity increases due to additional modules and processing mechanisms
Solution Approach 1:
The asset modification module is designed as a universal component that can execute multiple types of operations (buying, selling, adjusting asset values) based on different trigger conditions. This multi-functionality allows a single module to handle diverse asset management tasks, improving real-time data processing capability while avoiding the need for separate specialized modules for each operation type
Solution Approach 2:
The patent introduces limit tables as an intermediary structure that stores pre-defined operation sets, trigger conditions, and evaluation criteria. This intermediary layer mediates between raw data input and asset modification actions, allowing the system to process real-time data efficiently while the structured intermediate representation keeps the overall system architecture manageable and organized
3Measurement precision
If comprehensive evaluation criteria and limit tables are used, then measurement precision of asset management decisions improves, but device complexity increases due to additional data structures and processing logic
Solution Approach 1:
The patent applies local quality by allowing different operation sets to have specific, tailored evaluation criteria and trigger conditions suited to their particular purposes. Each operation set in the limit tables can define its own relevant data points and thresholds, enabling precise decision-making for each asset management task while the modular structure prevents overall system complexity from becoming unmanageable
Data Source
AI summary
A method includes generating, by an asset modification module, a core algorithm for modification of assets. The core algorithm modifies the assets based on time-sensitive and time varying evaluation data and in accordance with user preferences. For an asset of the assets, the method further comprises generating a set of augmented algorithms based on the core algorithm, where the set of augmented algorithms modifies the asset based on asset specific time-sensitive and time varying evaluation data and in accordance with asset specific user preferences. When the asset is selected for modification, the method further includes obtaining current asset specific time-sensitive and time varying evaluation data and selecting an augmented algorithm to process indicators of the current asset specific time-sensitive and time varying evaluation data in light of the asset specific user preferences to determine a modification operation. The method further includes modifying the asset in accordance with the modification operation.