Automated Mapping Engine for Capital Project Model Schedule Cost Coordination
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Solution Overview
Problem
Large-scale capital projects face challenges in coordinating model, schedule, and cost items, leading to frequent delays and cost overruns due to manual mapping and updating processes, which are time-consuming and prone to errors.
Innovation Solution
A system for 5D mapping that includes a model database, schedule database, and cost database, utilizing a rules engine to automatically map model items, schedule items, and cost items based on code sequences, with a quantification module to determine quantities and an automated comparator to identify changes, thereby streamlining project management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual mapping and updating processes are used for model, schedule, and cost items, then flexibility and adaptability are maintained, but time consumption and error rates increase significantly
Solution Approach 1:
The system enables automatic self-mapping of model items, schedule items, and cost items through code sequence matching. The mapping engine autonomously correlates items across different databases without requiring manual intervention, thereby eliminating human errors and significantly reducing time consumption while maintaining high mapping accuracy.
Solution Approach 2:
The patent replaces the manual mechanical process of mapping with an automated computational system. The mapping engine uses algorithmic code sequence matching to automatically correlate items, substituting human manual operations with automated digital processes that are faster, more accurate, and scalable.
2Reliability
If comprehensive coordination of model, schedule, and cost items is implemented, then project control and reliability improve, but system complexity increases
Solution Approach 1:
The mapping engine serves multiple functions within a single system: it maps model items to schedule items, schedule items to cost items, and model items to cost items. This multi-functional approach enables comprehensive project control across all three dimensions while avoiding the need for separate complex systems for each mapping relationship.
Solution Approach 2:
Code sequences serve as intermediaries that bridge model items, schedule items, and cost items. By using standardized code sequences as the mediating language, the system simplifies the coordination complexity while maintaining reliable connections across all project dimensions.
3Productivity
If automated mapping using code sequences is implemented, then productivity and speed improve, but adaptability to different coding systems may be reduced
Solution Approach 1:
The system allows code sequence parameters to be configured and adjusted based on different project requirements and coding standards. By making the code sequence structure flexible and configurable, the system maintains high mapping speed through automation while adapting to various coding conventions used across different projects and organizations.
Data Source
AI summary
A system includes a model database configured to contain model items representing capital project components. Each model item has at least one model item code. The system includes a schedule database configured to contain schedule items representing a portion of a construction schedule. Each schedule item has at least one schedule item code. The system additionally includes a cost database configured to contain cost items representing a cost for the portion of the construction schedule and/or the capital project components. Each cost item has at least one cost item code. A rules engine is configured to receive a rule for mapping model items, schedule items, and cost items. The rule includes a code sequence related to the model item, the schedule item, and the cost item. A mapping engine communicates with the model, schedule, and cost databases to map model, schedule, and cost based on the rules.