Asset Map Interface for IT Infrastructure Relationship Mapping
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Solution Overview
Problem
Current products lack a centralized asset management and mapping tool for global infrastructure operations, failing to provide health and readiness of assets, asset-to-asset relationships, asset issue tracking, and asset incident and configuration change history with a robust interface.
Innovation Solution
The method involves sending a query with an asset identifier, receiving a data structure that includes relationships between assets, rendering this data structure for display, and displaying it, using a linking algorithm applied to standardized data from an answer file validated through logging events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a centralized asset management tool is implemented, then asset tracking and relationship mapping capability is improved, but system complexity increases
Solution Approach 1:
The system segments asset information into structured data models with specific attributes (asset_id, asset_name, asset_type, location, status, etc.). Each asset is represented as an independent object with standardized fields, allowing the complex information to be divided into manageable, queryable units that can be processed individually while maintaining overall system organization.
Solution Approach 2:
The patent introduces an intermediary data structure layer that sits between the raw asset data and the user interface. This data model acts as a mediator, standardizing diverse asset information into a common format that can be easily queried and displayed, thereby reducing the complexity of information management while improving tracking capabilities.
2Productivity
If comprehensive asset relationship mapping is provided, then operational efficiency is improved, but data processing complexity increases
Solution Approach 1:
The asset data model is designed with universal fields that can represent multiple types of assets (physical assets, digital assets, intellectual property) using the same structure. The standardized attributes (location, status, owner, dependencies) apply across all asset types, allowing the system to handle diverse assets uniformly and improving operational efficiency without proportionally increasing processing complexity.
Solution Approach 2:
The system uses parameter-based asset representation where each asset is defined by a set of key parameters or attributes. By changing the values of these parameters rather than restructuring the entire data model, the system can efficiently process and relate different assets. This parameter-driven approach simplifies data processing while enabling comprehensive relationship mapping.
3Reliability
If real-time asset health monitoring is implemented, then asset management quality is improved, but system resource consumption increases
Solution Approach 1:
The system implements periodic asset health monitoring by scheduling regular status checks and updates at defined intervals. Rather than continuous monitoring, assets are assessed at periodic intervals, which maintains reliable oversight of asset conditions while significantly reducing system resource consumption compared to real-time continuous monitoring.
Data Source
AI summary
A method comprising performing, by at least one processor, operations including: sending a query including an identifier for an asset; receiving a data structure for the asset, wherein the data structure includes a determined relationship between the asset and other hardware and software assets; rendering the data structure into a format for display; and displaying the rendered data structure.