Distributed Ledger Asset Data Management via Event Stream Validation
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Solution Overview
Problem
Current data management systems for assets rely on cumbersome and untrustworthy offline processes, such as manual interactions, which are inefficient and prone to errors, especially in highly-secured or regulated environments, and are not capable of handling large-scale management of electronic data without significant inefficiencies and vulnerabilities.
Innovation Solution
The implementation of a distributed ledger system that automatically monitors data capture events, generates candidate data blocks, and adds them to a distributed ledger based on transaction validation rules, reducing reliance on human actors and enhancing security, traceability, and efficiency by employing a decentralized data management platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual interactions are used to manage electronic data for assets, then human actors can directly control data management processes, but the system becomes cumbersome, error-prone, and inefficient
Solution Approach 1:
The system enables self-service through automated data capture from event streams, automatic validation against rules, and autonomous ledger updates. The data management system performs operations without human intervention, with the automated pipeline capturing events, validating data, and updating ledgers autonomously, thereby improving reliability while maintaining operational simplicity
Solution Approach 2:
The patent replaces manual mechanical processes with automated computational systems. Human actors are substituted by an automated data pipeline that uses event streams, validation rules, and smart contracts to manage asset data, eliminating manual errors while keeping the system easy to operate through configuration-based rule sets
2Productivity
If automated data management is implemented using distributed ledger technology, then efficiency and security are improved, but system complexity increases
Solution Approach 1:
The system segments data management into distinct modular components: event stream ingestion, data validation against rules, candidate block generation, consensus protocol execution, and ledger updates. Each component operates independently with well-defined interfaces, improving productivity through specialized processing while managing complexity through modular architecture
Solution Approach 2:
The patent introduces intermediary layers including validation rules that mediate between raw event data and ledger updates, and smart contracts that mediate between business logic and distributed ledger operations. These intermediaries simplify the overall system by encapsulating complexity in configurable rule sets rather than hardcoding complex validation logic throughout the system
3Reliability
If manual data management processes are used, then system setup is simpler, but errors and inconsistencies increase significantly
Solution Approach 1:
The system performs preliminary validation of data against predefined rules before committing to the ledger. Event streams are validated against configuration-based rules in advance, ensuring data consistency is checked beforehand rather than during manual entry, thereby improving reliability while maintaining implementation ease through configurable rule templates
Solution Approach 2:
The automated system implements continuous feedback loops where ledger states are monitored, validated against rules, and automatically corrected through the consensus protocol. This feedback mechanism ensures data consistency is maintained automatically without requiring manual verification, improving reliability while keeping implementation straightforward through automated monitoring
4Reliability
If decentralized data management is implemented, then security and traceability are enhanced, but processing overhead and transaction times increase
Solution Approach 1:
The system applies partial validation by checking only essential criteria against configuration-based rules before full consensus processing. Not all possible validation checks are performed at every stage, allowing the system to maintain security and traceability through targeted validation while reducing unnecessary processing time through selective verification
Data Source
AI summary
Embodiments of the present disclosure provide for electronic data management for an asset associated with a property identifier based on a distributed ledger. Such embodiments may include monitoring a data capture event stream that comprises electronic data for an asset associated with a property identifier. Such embodiments may additionally or alternatively include, in response to a change with respect to the data capture event stream, generate a candidate data block associated with a portion of the electronic data related to the change with respect to the data capture event stream. Such embodiments may additionally or alternatively include adding the candidate data block to a distributed ledger in accordance with a distributed ledger consensus protocol based on a comparison between the portion of the electronic data and one or more transaction validation rules. Such embodiments may additionally or alternatively include triggering one or more actions based on the distributed ledger.