Construction Scheduling System Resolving Spatial Conflicts
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Solution Overview
Problem
Current construction project management techniques, such as the Critical Path Method (CPM) and Line of Balance (LOB), fail to effectively account for space and resource constraints, leading to inefficiencies and potential conflicts within construction sites.
Innovation Solution
A scheduling system that utilizes a processor and memory to generate schedules by considering specific space and resource requirements, allocating resources and space, and updating job progress times, while avoiding spatial clashes and optimizing the sequence of construction operations using 3D coordinates and productivity factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional CPM or LOB scheduling methods are used, then project schedules can be generated quickly, but space and resource constraints are not effectively accounted for, leading to spatial clashes and inefficiencies
Solution Approach 1:
The patent creates a virtual copy of the construction site using 3D models and simulates construction operations in this virtual environment. The system generates a virtual model of the construction site that replicates spatial relationships and constraints, allowing schedules to be tested and validated without affecting actual construction operations. This copying approach enables comprehensive space constraint checking while maintaining scheduling efficiency.
Solution Approach 2:
The patent replaces traditional manual or spreadsheet-based scheduling mechanics with an automated computer-based simulation system. The system uses software to automatically generate schedules, check spatial constraints, detect conflicts, and optimize construction sequences. This substitution of mechanical scheduling methods with automated computational systems enables both high productivity and reliable constraint satisfaction.
2Reliability
If detailed space and resource constraints are incorporated into scheduling, then schedule feasibility and conflict avoidance improve, but system complexity and computational requirements increase
Solution Approach 1:
The patent implements a universal simulation platform that handles multiple functions: 3D model generation, operation simulation, constraint checking, conflict detection, and schedule optimization. This multi-functional system consolidates what would otherwise require separate tools and processes, managing complexity through integration while providing comprehensive constraint validation across all spatial and resource dimensions.
Solution Approach 2:
The patent transforms complex spatial and resource constraints into quantifiable parameters that can be processed by the simulation system. By defining specific parameters for space requirements, resource availability, and operational sequences, the system converts qualitative constraints into measurable variables that guide automated scheduling decisions, reducing perceived complexity through parameterization.
3Area of stationary object
If construction operations are optimized for space utilization, then spatial conflicts are reduced, but the complexity of coordinating resource allocation and task sequencing increases
Solution Approach 1:
The patent performs preliminary simulation and validation of construction sequences before actual implementation. The system pre-identifies potential spatial conflicts and resource coordination issues by running virtual simulations of proposed schedules. This preliminary action allows complex coordination problems to be resolved in the virtual environment before committing to actual construction sequencing, reducing on-site coordination complexity.
Solution Approach 2:
The patent implements dynamic adjustment capabilities that allow the scheduling system to adapt to changing conditions. The simulation can evaluate multiple alternative sequences and dynamically select optimal arrangements that maximize space utilization while coordinating resources. This dynamic approach handles coordination complexity by providing flexible, adaptive solutions rather than rigid fixed schedules.
Data Source
AI summary
Systems and methods for generating scheduling options in consideration of space and resource constraints in accordance with embodiments of the invention are disclosed. One embodiment of the invention includes a scheduling application that configures the processor to generate a project schedule from a TODO list comprising a plurality of construction operations, where the construction operations comprise at least one specific space requirements within a construction site, resource requirements, and a duration time.