Time-Discrete 3D Scene Reconstruction for Construction Progress
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Solution Overview
Problem
Current 3D modeling technologies lack the ability to effectively generate and display 3D scenes with a time element, particularly in construction field management, where visualizing changes over time is crucial but not adequately addressed.
Innovation Solution
The method involves obtaining site data from capture devices, which includes imaging data, coordinate data, and time metadata, to reconstruct series of 3D modeled scenes and generate output for display based on position, orientation, and time data, allowing for the creation of time discrete 3D scenes that can be combined and animated to show site progression over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If 3D scenes are generated without time element using current technology, then the visualization is simple and straightforward, but the ability to track and monitor construction progress over time is lost
Solution Approach 1:
The patent embeds time metadata and multiple temporal states within the 3D scene structure itself. Each 3D scene contains nested time information that allows representation of construction progress at different stages, enabling time progression tracking without requiring separate external systems.
Solution Approach 2:
The patent adds a time dimension to traditional 3D construction visualization by integrating time metadata and temporal parameters into the 3D scene model. This transforms static 3D representations into dynamic 4D (3D + time) visualizations that can display construction progress across multiple time points.
2Reliability
If multiple 3D scenes representing different time points are generated and combined, then comprehensive construction progress tracking is achieved, but data processing and rendering complexity increases
Solution Approach 1:
The patent divides construction progress monitoring into discrete time-point 3D scenes, each representing a specific construction stage. These segmented temporal snapshots can be independently captured, stored, and processed, then systematically combined to show overall progress while maintaining manageable data structures.
Solution Approach 2:
The patent performs preliminary organization of time metadata and coordinate data during the data capture phase. By pre-structuring the temporal and spatial information as it is collected from capture devices, the system reduces the complexity of subsequent data processing and scene combination operations.
3Measurement precision
If time metadata and coordinate data are integrated into 3D scene reconstruction, then accurate temporal and spatial representation is achieved, but the processing requirements and computational load increase
Solution Approach 1:
The patent enables capture devices to autonomously generate and attach time metadata and coordinate data to imaging data during the capture process. This self-service approach to data annotation reduces the need for complex post-processing and external synchronization systems, lowering computational requirements while maintaining precision.
4Area of stationary object
If 3D scenes are generated from multiple capture devices at different locations, then comprehensive site coverage is achieved, but data integration and alignment complexity increases
Solution Approach 1:
The patent implements a universal coordinate system and data structure that can accommodate inputs from multiple capture devices at different locations and orientations. This multi-functional framework allows diverse data sources to be integrated into a unified 3D scene representation, simplifying the integration process while expanding site coverage.
Data Source
AI summary
Methods, systems, and apparatus including medium-encoded computer program products for generating and visualizing 3D scenes include, in one aspect, a method including: obtaining site data acquired by one or more capture devices, wherein the site data comprises data sets corresponding to two or more locations about a physical site, and each respective data set comprises (i) imaging data of the physical site, (ii) coordinate data for the imaging data, and (iii) time metadata for the imaging data; reconstructing a series of three dimensional (3D) modeled scenes of the physical site from the site data using the imaging data, the coordinate data, and the time metadata; receiving a request having associated position, orientation and time data; and generating, in response to the request, output for display of a portion of the 3D modeled scenes to represent the physical site based on the position, orientation and time data.