Event Data Synchronization Groups for Cross-Device Live Feeds

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Solution Overview

Problem

Challenges exist in efficiently sharing synchronized information across computing devices with different formats or protocols, particularly in real-time contexts like live events, where interactions and updates are critical.

Innovation Solution

The establishment of synchronized groups that allow multiple computing devices to interact and receive notifications by creating and managing data records and packages based on live event conditions, enabling real-time updates and interactions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If information is shared using different formats or protocols across multiple computing devices, then adaptability is improved, but synchronization reliability deteriorates

Engineering Contradiction:
Improvecompatibility across different computing devicesVSAvoidsynchronization of information
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent introduces a standardized data format as an intermediary that mediates between different computing devices using various protocols. Event data structures with standardized fields (event_id, event_name, event_timestamp, participant_profiles, event_outcome) serve as a universal language that maintains synchronization reliability while enabling cross-device adaptability.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent transforms diverse information from different computing devices into a standardized parameter structure. By converting various data formats into consistent event data structure parameters (timestamp, event_id, participant profiles, outcomes), the system achieves reliable synchronization across heterogeneous devices while maintaining adaptability to different input formats.

Inventive Principle:
Principle #35Parameter changes

2Loss of time

If real-time updates are implemented for live events, then information freshness is improved, but system complexity increases

Engineering Contradiction:
Improveinformation freshnessVSAvoidsynchronization system complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The patent establishes event data structure templates and standardized schemas in advance before live events occur. By pre-defining the structure (event_id, timestamp, participant_profiles, event_outcome fields) and validation rules, the system can process real-time updates efficiently without complex runtime decision-making, reducing overall system complexity while maintaining information freshness.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent segments the synchronization system into independent modular components: event data structure definition, validation module, transformation module, and distribution module. Each component handles a specific aspect of real-time processing, making the overall system more manageable and less complex while enabling efficient real-time information freshness across distributed devices.

Inventive Principle:
Principle #1Segmentation

3Loss of information

If multiple computing devices interact with live events, then information completeness is improved, but data consistency deteriorates

Engineering Contradiction:
Improveinformation completenessVSAvoiddata consistency
Core Design Contradiction:
Loss of informationVSStability of the object's composition

Solution Approach 1:

The patent implements feedback mechanisms where event data structures include validation rules and consistency checks that verify data integrity before acceptance. The standardized structure with required fields (event_id, timestamp, participant_profiles) and validation logic provides continuous feedback to participating devices, ensuring data consistency is maintained while collecting comprehensive information from multiple sources.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent creates a universal event data structure that serves multiple functions simultaneously: it collects comprehensive information from diverse devices, validates data consistency, standardizes formats, and enables cross-platform compatibility. This multi-functional structure improves information completeness while maintaining data consistency through its standardized universal format.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20260025427A1Systems and methods for synchronizing event data structures in computer networks
Publication Date: 2026.01.22 DK CROWN HOLDINGS INC
  • US20260025427A1 patent drawing
  • US20260025427A1 patent drawing
  • US20260025427A1 patent drawing

AI summary

Systems and methods for synchronizing event data structures in computer networks are disclosed. A system can receive, via a network from a first computing device corresponding to a first profile, a first network communication to generate a synchronized group identifying a second profile of a second computing device. The system can generate the synchronized group, and in response to receiving a second network communication from the second computing device, generate a data record including data record parameters specified in the second network communication. A data package to present a content item corresponding to the data record is generated in response to determining that the second profile is identified in the synchronized group, and a feed of the synchronized group is provided in response to corresponding network communications.