Data Parcel Exchange Platform for Securing Internal Exchange Values
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Solution Overview
Problem
Data sets experience a loss in quantitative integrity when exchanged across different systems due to external informational events, necessitating algorithms for balanced exchange and control over exposure to maintain and potentially increase numerical values.
Innovation Solution
A platform for securitization, portioning, and exchange of data parcels using circulation data to manage internal exchange values, decoupling data parcels from external events, and controlling the degree of securitization through platform parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data sets are exchanged across different systems, then data mobility and accessibility are improved, but quantitative integrity is lost due to external informational events
Solution Approach 1:
The patent introduces a platform as an intermediary between data sets and external informational events. This platform acts as a mediator that receives data sets, secures their quantitative values, and manages their exchange while protecting them from external volatility. The platform's internal exchange mechanism serves as a controlled interface that maintains integrity while enabling mobility.
Solution Approach 2:
The patent extracts the quantitative value of data sets from their original context and relocates it to a secured platform environment. By separating the value representation from the external system dependencies, the patent enables data to be exchanged without being subject to external informational events that would compromise quantitative integrity.
2Stability of the object's composition
If data parcels are decoupled from external referrants to prevent volatility, then quantitative stability is improved, but adaptability to external changes is reduced
Solution Approach 1:
The patent implements a dynamic system where data parcels can exist in different states of coupling. The platform allows data parcels to be decoupled from external referrants for stability when needed, while also enabling controlled recoupling or adjustment to reflect external changes when appropriate. This dynamic approach balances stability and adaptability based on system needs.
Solution Approach 2:
The patent changes the parameter of coupling between data parcels and external referrants. By adjusting this parameter, the system can transition between states of high stability (decoupled) and high adaptability (coupled), allowing flexible response to different operational requirements while maintaining quantitative integrity throughout.
3Reliability
If internal exchange values are secured to prevent loss, then quantitative integrity is improved, but potential value increase from external events is prevented
Solution Approach 1:
The patent implements feedback mechanisms that monitor external informational events and allow the system to respond appropriately. When external events indicate genuine value increases, the feedback loop enables the platform to adjust internal exchange values accordingly, thus maintaining security while capturing legitimate value growth opportunities.
Solution Approach 2:
The patent takes preliminary action by establishing secured internal exchange values before external events occur. This preliminary securing prevents loss from negative events, while the system's design allows for subsequent adjustment to capture positive value changes, thus protecting against loss while preserving growth potential.
Data Source
AI summary
A system enabling the quantumization of data articles into quantum data parcels and the modification of quantum data parcel initial internal exchange values as they are received by disparate receivers from an initial controller.