Mobile Classification Engine for Dynamic BIM Data Indexing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Building Information Models (BIMs) are limited in the types of data they can incorporate, with supplemental non-graphical data restricted to text fields, which are not indexable or easily searchable, making it impractical for stakeholders to dynamically update information such as changes in costs or unforeseen events during construction.
Innovation Solution
A mobile device with a touchscreen and classification engine trained via machine learning that analyzes inputs such as images and messages to create logical models of building components, allowing for the tracking of installation, maintenance, and costs, and enabling real-time collaboration among stakeholders by displaying virtual elements and relationships between inputs and the model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If text fields are used for supplemental non-graphical data in BIM, then data can be stored, but the data is not indexable or easily searchable and cannot be dynamically updated
Solution Approach 1:
The patent transforms the data format from text fields to structured metadata parameters with defined schemas. Each building component has associated metadata fields (e.g., manufacturer, model number, installation date, cost) that are indexable and searchable. This parameter-based approach enables efficient querying and dynamic updating while maintaining structured organization.
Solution Approach 2:
The patent replaces manual text entry and search mechanisms with automated image recognition and optical character recognition (OCR) systems. The system automatically extracts metadata from images of building components and populates the structured data fields, eliminating the need for manual text input and enabling automatic indexing and searchability.
2Adaptability or versatility
If multiple stakeholders collaborate on BIM models, then comprehensive building information is achieved, but data compatibility and sharing between different CAD models remain problematic
Solution Approach 1:
The patent implements a universal data exchange format that can be used across different CAD platforms and stakeholder systems. The structured metadata schema serves as a common language that allows architects, engineers, contractors, and subcontractors to share and integrate their respective models reliably, eliminating compatibility issues between different CAD systems.
Solution Approach 2:
The patent introduces a centralized data repository or common data environment that acts as an intermediary between different stakeholder models. This intermediary layer standardizes data exchange formats and enables seamless integration of models from different sources while maintaining data integrity and compatibility across all participating systems.
3Ease of operation
If visual data formats are used instead of text fields, then communication of building component status is improved, but data structure and processing complexity increases
Solution Approach 1:
The patent uses image copies and visual representations of building components as the primary data format for communication. Instead of relying on text descriptions, the system captures and stores images of actual building components, fixtures, and conditions, which provide intuitive visual communication of status, damage, or installation state while maintaining manageable data structures through automated processing.
Data Source
AI summary
A mobile communications device for management of properties (e.g., leased units within a building or floor thereof) includes peripherals for use by the property manager to capture input and a display unit for interaction with a model of the managed property, e.g., virtual elements corresponding to features or fixtures and based on underlying building data and inputs submitted by contractors, tenants, and other stakeholders related to the installation, maintenance, or repair of the features or fixtures, or other tasks for completion. The peripherals likewise allow the manager to submit their own input, e.g., messages, audio, and/or images related to task updates. The mobile device may be programmed to analyze model elements, stakeholder input, and manager input to classify and determine relationships between these components, e.g., relating submitted images or messages to the appropriate managed units and/or the appropriate fixtures and features.


