Construction Design Tools for Dynamic Scheduling and Anomaly Detection

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Solution Overview

Problem

Current computer-aided design tools for infrastructure construction are inflexible and inefficient, making it difficult to adjust construction plans in response to irregularities and material changes, and require extensive user interaction for anomaly detection and construction ordering optimization.

Innovation Solution

The system employs machine learning techniques to automatically detect anomalies and determine optimal construction orderings, using a design optimization system that rapidly defines and assigns tasks, validates prerequisites, and generates construction schedules based on user inputs and constraints, while reducing the number of possible construction orderings through directionality analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If electronic Gantt chart is used to define construction tasks, then construction planning is structured, but flexibility to adjust to irregularities and material changes is poor

Engineering Contradiction:

Improveflexibility to adjust construction plansVSAvoidcomplexity of construction management system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system transforms the static Gantt chart into a dynamic construction management platform that automatically updates task schedules, dependencies, and resources in response to real-time changes. The platform enables dynamic adjustment of construction plans when irregularities or material changes occur, while maintaining structured planning through automated recalibration of the project timeline and resource allocation.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system implements continuous feedback mechanisms where construction status, material availability, and irregularities are monitored and fed back into the planning system. This feedback loop enables automatic adjustment of task definitions, dependencies, and schedules, allowing the system to adapt to changing conditions while maintaining structured organization through automated processing.

Inventive Principle:

Principle #23Feedback

2Measurement precision

If manual review of designed structure is performed via user interface, then design quality can be checked, but it is difficult or impossible to fully examine the designed structure given the quantity of objects

Engineering Contradiction:

Improveaccuracy of design reviewVSAvoidtime required for design review

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system enables self-service design review by automatically detecting and flagging potential anomalies, conflicts, and irregularities in the constructed objects. The platform autonomously performs initial review functions, identifying issues such as spatial conflicts, code violations, and design inconsistencies, thereby reducing the manual review burden while maintaining high accuracy through automated detection algorithms.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system replaces manual mechanical review processes with automated computer-based detection and analysis. Instead of requiring designers to manually examine each object through the user interface, the system uses automated algorithms to scan, detect, and flag potential issues, substituting human inspection with computational analysis that is both faster and comprehensive.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Productivity

If multiple construction schemes are considered for each task, then construction optimization is possible, but the quantity of objects to manage increases significantly

Engineering Contradiction:

Improveconstruction efficiencyVSAvoidcomplexity of object management

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system segments the construction project into discrete, manageable tasks with clear dependencies and resource requirements. Each task is independently defined with specific objects, allowing the system to handle multiple construction schemes at the task level without overwhelming complexity. This segmentation enables systematic management of numerous objects through structured task decomposition.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system manages multiple construction schemes by dynamically adjusting key parameters such as task timing, resource allocation, and object priorities. Instead of managing every possible variation individually, the system uses parameter changes to generate and evaluate different construction approaches, optimizing productivity through controlled variation of critical parameters rather than exhaustive enumeration of all possibilities.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11328102B2Digital design tools for building construction

Publication Date: 2022.05.10 AECOM F K A URS CORP

AI summary

Systems and methods are disclosed for digital design tools. One example method comprises obtaining an electronic model of a structure, the electronic model including a objects, and the objects representing physical objects to be constructed. Dependencies between the objects are determined, with the determined dependencies indicating that a first object is to be constructed prior to a second object. Construction orderings are generated based on the determined dependencies, with each construction ordering indicating a unique order in which the objects are to be constructed. A user interface is presented via a user device describing the construction orderings, with a system being configured to trigger updates to the electronic model in response to received material changes associated with the electronic model.