Dynamic Digital Queue Termination for Access Control Efficiency

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Solution Overview

Problem

Access-right management systems become overwhelmed when faced with high demand, leading to inefficient processing and potential fraudulent activities due to bot scripts, which can exhaust processing resources and compromise fair access.

Innovation Solution

Implementing a system that dynamically terminates digital queues based on data signals, such as queue occupancy and available access rights, to optimize resource usage and detect fraudulent activity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If digital queues are maintained continuously to manage high demand, then access control and resource allocation are improved, but processing resources are wasted and computational efficiency deteriorates

Engineering Contradiction:
Improveaccess controlVSAvoidcomputational efficiency
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent implements dynamic queue termination by monitoring queue occupancy levels and automatically terminating queues when they fall below thresholds or remain empty for predetermined periods. This transforms static queue management into a dynamic system that adapts to actual demand, freeing processing resources while maintaining access control reliability when needed.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system employs feedback mechanisms by continuously monitoring queue occupancy levels and using this information to make termination decisions. The feedback loop involves detecting when queues are empty or below thresholds, determining whether termination criteria are met, and executing termination actions accordingly, thereby optimizing resource allocation based on real-time conditions.

Inventive Principle:
Principle #23Feedback

2Productivity

If digital queues are terminated early to free processing resources, then computational efficiency is improved, but access control reliability may worsen

Engineering Contradiction:
Improvecomputational efficiencyVSAvoidaccess control
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent applies preliminary action by establishing predetermined termination criteria and thresholds before queue termination occurs. The system pre-defines occupancy thresholds and time periods that must be met before termination, ensuring that queues are not terminated prematurely. This preliminary configuration maintains access control reliability while enabling efficient resource release when conditions are appropriate.

Inventive Principle:
Principle #10Preliminary action

3Adaptability or versatility

If processing resources are allocated to manage empty queues, then queue management capability is maintained, but resource utilization deteriorates

Engineering Contradiction:
Improvequeue management capabilityVSAvoidresource utilization
Core Design Contradiction:
Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The patent extracts unnecessary processing resource allocation by identifying and terminating queues that are empty or below operational thresholds. By removing these non-essential queue management tasks from the active system, the patent frees processing resources for more productive uses while maintaining the capability to manage queues when they actually contain requests.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS20250272136A1Automated queue shutdown for efficient resource management
Publication Date: 2025.08.28 LIVE NATION ENTERTAINMENT INC
  • US20250272136A1 patent drawing
  • US20250272136A1 patent drawing
  • US20250272136A1 patent drawing

AI summary

The present disclosure generally relates to an access-right management system configured to efficiently manage multiple digital queues that store access-right requests to a resource. More particularly, the present disclosure relates to systems and methods that dynamically and automatically terminate digital queues in response to certain data signals, thereby improving computational efficiency and saving processing resources.