Network Resource Consolidation via Automated Imaging

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Solution Overview

Problem

The process of physically consolidating network resources in data centers, such as telephone exchanges, is time-consuming and resource-intensive due to fragmented or inconsistent data and difficulties in collecting accurate information about existing network resources, leading to inefficiencies in migration, upgrade, and decommissioning efforts.

Innovation Solution

An analytics system that uses sensor and imaging technology to automatically collect data on network resources, processes this data to determine the optimal consolidation method, and generates instructions for robots or human workers to physically consolidate the resources, thereby streamlining the consolidation process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual data collection methods are used to gather information about network resources, then data accuracy may be compromised due to human error and fragmentation, but the process requires significant time and human resources

Engineering Contradiction:
Improvedata accuracyVSAvoidconsolidation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical data collection methods with automated imaging technology and sensor systems. Cameras and sensors capture images of network resources, and image processing algorithms automatically extract and consolidate data, eliminating human error and significantly reducing the time required for data collection while improving accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system creates digital copies of network resource information through imaging technology. Cameras capture visual information of physical network resources, which is then processed into structured data that accurately represents the physical assets, enabling automated consolidation without manual intervention.

Inventive Principle:
Principle #26Copying

2Loss of information

If comprehensive data collection is performed on all network resources to ensure accurate consolidation planning, then data completeness improves, but the processing complexity and resource requirements increase significantly

Engineering Contradiction:
Improvedata completenessVSAvoidprocessing complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent segments the data collection and processing system into specialized components: imaging devices capture visual data, image processing algorithms extract specific information, sensors gather additional parameters, and consolidation logic processes the data. This segmentation allows comprehensive data collection while managing complexity through modular, specialized processing stages.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system employs multi-functional imaging technology that can capture and process multiple types of network resource information simultaneously. The same imaging and processing infrastructure handles various data types (equipment identifiers, physical locations, connectivity information), reducing overall system complexity while achieving complete data collection.

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

3Productivity

If automated imaging and sensor technology is deployed to collect network resource data, then data accuracy and consolidation speed improve, but the initial system complexity and cost increase

Engineering Contradiction:
Improveconsolidation speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system implements self-service automation where imaging devices automatically capture images, image processing algorithms autonomously extract and structure data, sensors independently gather additional information, and the consolidation logic automatically generates consolidation plans. This self-service capability eliminates manual intervention, dramatically improving consolidation speed while the modular architecture manages system complexity.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS10341253B2Automatic consolidation of network resources
Publication Date: 2019.07.02 ACCENTURE GLOBAL SOLUTIONS LTD
  • US10341253B2 patent drawing
  • US10341253B2 patent drawing
  • US10341253B2 patent drawing

AI summary

A device may receive data associated with network resources. The data may be received from another device and from a system. The data may include an attribute of the network resources. The device may process the data to align the data received from the other device and from the system. The device may determine a manner in which the network resources are to be consolidated based on the attribute of the network resources. The device may perform an action based on determining the manner in which the network resources are to be consolidated. The action may be associated with consolidating the network resources.