Hierarchical Construction Status Model Using BIM and Scheduling Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The construction process is prone to errors due to the lack of accurate location and installation of components, leading to significant re-work, schedule delays, and additional costs. Additionally, existing systems fail to standardize construction data across multiple projects for effective comparison and real-time evaluation.
Innovation Solution
The implementation of a system that standardizes relationships between elements of a structure and corresponding elements in a hierarchical configuration, using machine learning models to generate mappings and perform real-time or near-real-time evaluations of construction progress.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If construction workers manually locate and install components without standardized monitoring, then installation flexibility is maintained, but manufacturing precision and location accuracy deteriorate leading to errors and re-work
Solution Approach 1:
The monitoring system is segmented into hierarchical levels (project level, site level, component level) allowing standardized tracking without requiring complex integration across entire construction operations. Each level operates independently with standardized data formats, reducing overall system complexity while maintaining precision.
Solution Approach 2:
The system uses universal standardized data formats and hierarchical structures that can track multiple component types (walls, pipes, electrical, etc.) across multiple projects and sites. This multi-functionality reduces the need for project-specific custom monitoring solutions, lowering complexity while maintaining accuracy.
2Measurement precision
If construction progress is monitored using existing non-standardized systems, then data collection is simple, but measurement precision and comparability across projects deteriorate
Solution Approach 1:
Standardized data formats, hierarchical structures, and mapping relationships are established before construction begins. This preliminary standardization enables direct comparison across projects without requiring complex data transformation during evaluation, improving both precision and productivity.
Solution Approach 2:
The system transforms construction data into standardized parameters organized hierarchically (project → site → component). This parameter transformation enables precise measurement and comparison while maintaining evaluation efficiency through consistent data structures across all projects.
3Productivity
If real-time evaluation of multiple geographically distant projects is implemented, then productivity improves, but device complexity and data processing requirements worsen
Solution Approach 1:
The evaluation system is segmented into independent project modules that each use standardized data formats. This allows parallel processing of multiple projects without requiring complex integration, reducing system complexity while enabling fast real-time evaluation across geographically distant sites.
Solution Approach 2:
The system uses standardized hierarchical data structures that can be copied and applied across multiple projects. This template-based approach allows rapid deployment of evaluation capabilities to new projects without increasing system complexity, as the same standardized structure is replicated rather than customized.
4Manufacturing precision
If detailed tracking of construction components is implemented to detect errors early, then manufacturing precision improves, but loss of time for data collection and processing worsens
Solution Approach 1:
Error detection rules, validation criteria, and hierarchical data structures are established before construction begins. This preliminary setup enables automated real-time validation of component locations and installations without requiring complex post-construction analysis, improving error detection while minimizing time loss.
Solution Approach 2:
The system provides immediate feedback when component installations deviate from planned locations or sequences. This real-time feedback enables early error detection and correction without requiring time-consuming manual inspections or batch processing, maintaining both precision and efficiency.
Data Source
AI summary
Systems and methods for evaluating construction of structures are disclosed. Building information modeling (BIM) data is received in a non-standardized format for a set of structures undergoing construction. Scheduling data is received associated with construction of each structure in the set of structures. A database is accessed that stores construction data that associates multiple elements of construction projects in a hierarchical configuration. Using the BIM data and the scheduling data, a model is generated that standardizes how particular elements of a particular structure relate to the multiple elements in the hierarchical configuration. Using the generated model, a status of construction of the particular structure is generated. In some implementations, the model is generated and/or trained using machine learning. In some implementations, the model further standardizes relationships between construction activities for the particular structure and construction activities represented in the hierarchical configuration.