Asset Modification Module Using Operation Set Limit Tables
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Solution Overview
Problem
Businesses face challenges in efficiently managing and modifying various types of assets within communication systems, particularly in handling increasing volumes of digital data across different types of assets such as stocks, inventory, and intelligence information, due to the complexity of existing data communication systems.
Innovation Solution
The implementation of an asset modification module that utilizes operation set limit tables to monitor and modify assets based on time-varying and time-sensitive data, allowing for automatic or user-driven triggering of 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 automated asset management systems are implemented to handle increasing volumes of digital data, then productivity and response time improve, but device complexity and security vulnerability increase
Solution Approach 1:
The system divides asset management into separate functional modules: evaluation data collection module, limit table storage module, operation execution module, and security module. Each module handles specific tasks independently, improving productivity while containing complexity within discrete units rather than a monolithic system.
Solution Approach 2:
Limit tables serve as intermediary structures that pre-store evaluation criteria and operation parameters. Instead of complex real-time decision logic, the system uses these intermediate limit tables to mediate between raw evaluation data and asset modification operations, simplifying the overall system architecture.
2Reliability
If comprehensive security measures are implemented to protect asset management operations, then reliability improves, but device complexity increases
Solution Approach 1:
Security credentials and authorization rules are pre-configured and stored in the system before asset management operations begin. The limit tables contain pre-defined security parameters and operation constraints, allowing the system to verify authenticity and execute operations securely without complex real-time security decision-making.
3Speed
If real-time monitoring and automated operations are implemented, then response time to market trends improves, but loss of time for system configuration and maintenance increases
Solution Approach 1:
Evaluation criteria, operation parameters, and security rules are pre-configured in limit tables before deployment. This preliminary configuration enables the system to execute real-time asset management operations without requiring complex runtime decision logic, reducing both response time and ongoing maintenance time.
Solution Approach 2:
The system automatically executes operations based on pre-configured limit tables and incoming evaluation data, without requiring continuous human intervention or configuration. Once deployed, the system self-manages asset operations, reducing the time needed for ongoing configuration and maintenance.
Data Source
AI summary
A method implemented by a computing entity includes issuing limit tables associated with an asset to be modified to an artificial intelligence (AI) computing entity and interpreting a response to produce a particular criterion for sharing with the AI computing entity. The method further includes triggering one or more operations based on the particular criterion and an analysis if the AI computing entity. The method further includes generating a group of algorithms to modify the asset and extracting current information for the asset from the AI computing entity. The method further includes executing the one or more operations using trigger indicators of the limit tables and modifying the asset to produce a modified asset.