Automated Construction Planning via Mesh Analysis and Build Formulas
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Solution Overview
Problem
Construction projects face inefficiencies and complications due to spatial, temporal, resource, and budget constraints, which can lead to hazards, waste, and project failure if not managed properly.
Innovation Solution
The implementation of automated systems and methods using artificial intelligence and machine learning to process construction project parameters, generating multiple construction options quickly, and creating an object construction plan by identifying structure elements, determining support data, and applying pre-defined build formulas, while allowing for real-time updates and modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated systems with AI and machine learning are implemented to generate multiple construction options, then productivity and speed of construction planning are improved, but device complexity and computational requirements increase
Solution Approach 1:
The construction planning system segments the complex task into distinct modules: mesh analysis module for identifying structure elements, support data determination module for analyzing relationships, and build formula application module for generating construction plans. This segmentation allows each module to be optimized independently while working together to achieve high overall productivity.
Solution Approach 2:
The patent introduces an intermediary computational layer that processes construction parameters through predefined build formulas and formula relationships. This intermediary layer translates complex spatial and temporal constraints into actionable construction plans, bridging the gap between raw data and decision-making without requiring full system complexity to be visible at each level.
2Adaptability or versatility
If multiple construction options are generated and parameters are updated in real-time, then adaptability and responsiveness to constraints are improved, but loss of time for processing and computing increases
Solution Approach 1:
The system performs preliminary actions by pre-defining build formulas and formula relationships for various construction scenarios before actual construction planning begins. These predefined templates contain embedded logic for handling spatial constraints, temporal constraints, and resource allocation, allowing the system to rapidly adapt to changing parameters by applying pre-processed knowledge rather than computing from scratch.
Solution Approach 2:
The patent implements parameter changes by allowing dynamic modification of construction parameters (such as available resources, time constraints, and spatial limitations) while the system automatically re-evaluates construction options using the predefined build formulas. This enables real-time adaptability where changing one parameter triggers automated recalculation of affected construction plans without manual intervention.
3Manufacturing precision
If mesh analysis and support data networks are used to identify structure elements and relationships, then manufacturing precision and accuracy of construction plans are improved, but device complexity and data processing requirements increase
Solution Approach 1:
The mesh analysis process segments the construction object into discrete structure elements with defined geometric properties and spatial relationships. Each element is analyzed independently for its support requirements and connections to other elements, creating a modular data structure that maintains high precision while reducing overall computational complexity through divide-and-conquer processing.
Solution Approach 2:
The patent creates a digital copy or representation of the physical construction object through mesh analysis, generating a virtual model that contains all necessary geometric and relational data. This digital copy allows for precise analysis and plan generation in the virtual domain before translating decisions to the physical construction domain, maintaining accuracy while simplifying data processing.
Data Source
AI summary
Provided herein are systems and methods for automated analysis of objects for a construction planning. The methods may comprise a computer-implemented method which utilizes one or more machine learning algorithms. The systems may comprise one or more computer processors, which are configured individually or collectively to implement a method of the present disclosure. The methods may comprise performing a mesh analysis on a three-dimensional model of an object to be constructed. Based on the mesh analysis, support data between structure elements of the object may be determined which may facilitate an application of a pre-defined build formula(s) or formula relationship(s) for the structure elements. A construction plan may be generated and/or scheduled based at least partially on the pre-defined build formula(s) or formula relationship(s).