3D Remote Collaboration Views for Independent Spatial Analysis
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Solution Overview
Problem
Existing IT environments face challenges in curating, searching, and analyzing massive quantities of diverse data, particularly in remote collaboration scenarios where users have difficulty interacting with real-world environments due to limited remote participant views.
Innovation Solution
A data intake and query system utilizing a late-binding schema that enables efficient storage and analysis of minimally processed machine data, allowing users to search all data and derive insights, with features like flexible schema, field extraction, and common information models across disparate data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional video streaming is used for remote collaboration, then remote participants can view the host's perspective, but the remote participants are limited by the host's view and cannot independently analyze physical objects
Solution Approach 1:
The system segments the remote collaboration experience into multiple independent view streams - the host's first-person view and the remote participant's third-person environment view - allowing each participant to simultaneously access different perspectives of the same physical space
Solution Approach 2:
The system introduces a spatial mapping intermediary that captures the physical environment through sensors and reconstructs it as a virtual model, mediating between the host's direct view and the remote participant's need for independent environmental analysis
2Loss of information
If massive quantities of diverse data are stored across multiple data sources, then new insights and value can be derived, but curating, searching, and analyzing the data becomes technically challenging
Solution Approach 1:
The system implements a universal late-binding schema framework that can accommodate multiple data sources and formats without requiring separate curation processes for each, enabling diverse data to be searched and analyzed through a common interface
Solution Approach 2:
The system performs preliminary data intake and minimal processing to establish a standardized structure, deferring detailed schema binding until query time, which simplifies initial data curation while maintaining full analytical capability
Data Source
AI summary
Various implementations of the present application set forth a method comprising generating, three-dimensional data and two-dimensional data representing a physical space that includes a real-world asset, generating an adaptable three-dimensional (3D) representation of the physical space based on the two-dimensional and three-dimensional data, where the adaptable 3D representation includes a plurality of coordinates representing different positions in 3D coordinate space corresponding to the physical space, transforming the adaptable 3D representation into geometry data comprising a set of vertices, faces comprising edges between pairs of vertices, and texture data, transmitting the geometry data to a remote device, wherein the remote device, constructs, based on the geometry data, the adaptable 3D representation of the physical space for display at a location of the remote device in a remote environment, and modifies, based on an input, at least one of a dimension or a position of the adaptable 3D representation.