XR Mesh Retexturing for Updating Changed 3D Environments
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Solution Overview
Problem
Analyzing and searching massive quantities of machine data generated by IT environments is challenging due to the diverse types and formats of data, which can be time-consuming and inefficient with existing data processing systems.
Innovation Solution
An event-based data intake and query system with a late-binding schema that processes and stores machine data for flexible schema application at search time, enabling field-searchable events and common information modeling across disparate data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is pre-processed and stored in structured formats for efficient retrieval, then search and analysis performance is improved, but data flexibility and the ability to analyze all generated data is reduced
Solution Approach 1:
The system performs preliminary actions by ingesting and storing all raw machine data without discarding any portions, while also preparing the data infrastructure to support both raw data storage and structured query operations. This allows analysts to access all generated data later without having pre-processed it into specific formats.
Solution Approach 2:
The patent adds a new dimension to data storage by maintaining both raw unprocessed data and structured queryable data simultaneously. This multi-dimensional approach allows the system to serve both analytical flexibility (through raw data access) and query efficiency (through structured indexes) without compromise.
2Adaptability or versatility
If massive quantities of raw machine data are stored for later analysis, then data flexibility and completeness is improved, but data search and analysis performance deteriorates
Solution Approach 1:
The system segments data handling into distinct layers: raw data ingestion and storage, data indexing and structuring, and query processing. This segmentation allows raw data to be stored completely for flexibility while separate indexing structures enable efficient search and analysis operations on the same data.
Solution Approach 2:
The patent introduces intermediary components including data intake systems that ingest raw data, indexing systems that create structured representations, and query systems that execute searches. These intermediaries mediate between raw data storage and analysis operations, enabling both flexibility and performance.
3Quantity of substance
If data is pre-processed to reduce volume based on anticipated analysis needs, then storage requirements and processing time is reduced, but data completeness and analysis flexibility is lost
Solution Approach 1:
The system changes the parameter of data processing timing from pre-processing to on-demand processing. Instead of reducing data volume in advance based on anticipated needs, the system stores all data and applies processing transformations only when specific analysis queries are executed, adapting to actual rather than anticipated needs.
Data Source
AI summary
Various implementations set forth a computer-implemented method for scanning a three-dimensional (3D) environment. The method includes generating, in a first time interval, a first extended reality (XR) stream based on a first set of meshes representing a 3D environment, transmitting, to a remote device, the first XR stream for rendering a 3D representation of a first portion of the 3D environment in a remote XR environment, determining that the 3D environment has changed based on a second set of meshes representing the 3D environment and generated subsequent to the first time interval, generating a second XR stream based on the second set of meshes, and transmitting, to the remote device, the second XR stream for rendering a 3D representation of at least a portion of the changed 3D environment in the remote XR environment.