Image Capture Positioning for BIM-Based Construction Progress Tracking
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Solution Overview
Problem
Existing building construction projects lack efficient systems for real-time tracking and management of progress, leading to inefficiencies and mismanagement of resources.
Innovation Solution
A BuildMonitor system comprising modules such as Flow Builder, Locator, Binder, Predictor, and Presenter, which utilize image capture devices and a cloud-based hub to generate flow models, determine camera positions, track progress, predict future stages, and provide reports for improved project management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual tracking and management methods are used for building construction projects, then device complexity is reduced, but productivity and measurement precision deteriorate due to lack of real-time tracking
Solution Approach 1:
The system segments the construction project into discrete construction elements (CEs) that can be individually tracked and monitored. Each CE represents a specific portion of the building that can be independently assessed for progress, enabling granular real-time tracking without requiring a monolithic complex system.
Solution Approach 2:
The BuildMonitor system serves multiple functions simultaneously: it captures images, determines camera positions, identifies construction elements, assesses progress, and generates reports. This multi-functional approach improves productivity across all tracking operations while consolidating system complexity into a single integrated platform.
2Measurement precision
If comprehensive real-time tracking systems are implemented, then measurement precision and information availability improve, but device complexity and cost increase
Solution Approach 1:
The system continuously captures images of construction elements and compares actual progress against the building information model (BIM), providing real-time feedback on construction status. This feedback mechanism enables precise measurement of progress while using automated image analysis to reduce the complexity of manual assessment procedures.
Solution Approach 2:
The system replaces manual visual inspection and physical measurement methods with automated image capture and computer vision technology. This substitution improves measurement precision by eliminating human error while reducing the operational complexity through automation.
3Loss of information
If detailed progress monitoring is performed on all construction elements, then loss of information is reduced, but time consumption and processing complexity increase
Solution Approach 1:
The system pre-segments the building into construction elements based on the BIM before construction begins, and pre-establishes the tracking framework. This preliminary action enables rapid real-time monitoring during construction without requiring complex processing of unstructured data, thus reducing information loss while minimizing processing time.
4Measurement precision
If automated image analysis is used to identify construction elements, then manufacturing precision and object detection accuracy improve, but device complexity and computational requirements increase
Solution Approach 1:
The system creates digital copies of construction elements from the BIM model and compares them with captured images. This copying approach enables automated identification and precise recognition of construction elements without requiring complex real-time 3D reconstruction, thus improving identification accuracy while managing processing complexity.
Data Source
AI summary
A method for determining a position of an image capture device (ICD) within a building site, the module comprising: registering an image captured in the building site by the ICD; registering an initial ICD position of the ICD at the time the image was captured; generating a plurality of proposed ICD positions based on the initial ICD position; and selecting an optimized ICD position from the plurality of proposed ICD positions. Optionally, the optimized ICD position is selected responsive to a model of the building site that comprises sufficient information to generate a three dimensional (3D) representation of the building site.