XR Tag-Based Data Retrieval for Unknown Objects
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Solution Overview
Problem
In IT environments, retrieving and viewing data associated with real-world objects is challenging due to the lack of efficient techniques for interfacing with and curating data from diverse sources, especially when objects do not have a known identifier.
Innovation Solution
A computer-implemented method that detects tags associated with real-world objects, determines object identifiers, and uses user roles to retrieve data from a data source, displaying visualizations of the retrieved data within an extended reality environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional data retrieval methods are used in IT environments, then data can be accessed from diverse sources, but the process becomes technically challenging and inefficient
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between users and diverse data sources. This system automatically discovers data sources, extracts relevant data, and presents it in a unified format, eliminating the need for users to manually navigate complex data retrieval processes across multiple sources.
Solution Approach 2:
The system implements self-service capabilities by automatically discovering data sources, identifying relevant objects, and retrieving data without requiring user intervention or technical expertise. The system autonomously performs data exploration, relationship identification, and data extraction tasks.
2Adaptability or versatility
If users attempt to retrieve information for physical machines or objects without known identifiers, then comprehensive data access is possible, but the retrieval process becomes difficult
Solution Approach 1:
The system performs preliminary actions by automatically discovering and cataloging data sources before user queries are submitted. It pre-identifies objects, their attributes, and relationships, creating a ready-to-query data structure that simplifies subsequent information retrieval operations.
Solution Approach 2:
The patent replaces manual mechanical search processes with automated computational methods. Instead of users manually searching through data sources, the system uses automated discovery mechanisms, pattern recognition, and intelligent algorithms to identify and retrieve object information.
3Loss of information
If massive quantities of diverse data are made accessible, then new insights can be derived, but curating, searching, and analyzing the data becomes challenging
Solution Approach 1:
The system extracts relevant information from massive quantities of diverse data by automatically identifying key objects, their attributes, and relationships. It separates essential data from noise, presenting only the most relevant information for analysis and insight generation.
Solution Approach 2:
The patent transforms raw diverse data into structured information by changing parameters such as data format, organization structure, and representation methods. This transformation makes the data more manageable and analyzable while preserving the underlying information content.
Data Source
AI summary
Various embodiments of the present application set forth a computer-implemented method comprising detecting a tag associated with a real-world object, determining a object identifier (ID) associated with the tag, determining a first user role associated with a user of an XR environment, receiving a set of values associated with the object ID and the user role from a data source, wherein the set of values is provided by the data source based on the object ID and on a query executed on raw machine data associated with the real-world object, and displaying, by a client device within the XR environment, a visualization that displays the set of values.