Construction Installation Accuracy Analysis Method
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Solution Overview
Problem
Current computer-aided methods for construction projects lack the ability to review and document the actual installation situation during the construction phase compared to the planned installation status, which compromises safety and quality.
Innovation Solution
A computer-aided method that generates and stores planning data for a desired installation state and tolerance data for permissible deviations, allowing for real-time comparison with the actual installation state, enabling decision-making on releasing construction steps or requiring corrections based on predefined criteria, including external influences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If computer-aided methods are used to generate and store planning data for construction projects, then productivity and planning efficiency are improved, but the ability to review and document actual installation status compared to planned status is lost
Solution Approach 1:
The system implements feedback by automatically capturing actual installation status through measurement devices, comparing it with planned installation status from planning data, and documenting deviations. This closed-loop feedback mechanism ensures that information about actual installation status is not lost but systematically recorded and made available for review.
Solution Approach 2:
The system creates digital copies of both planned installation status (from planning data) and actual installation status (from measurement devices). These digital copies are stored and compared, enabling comprehensive documentation without requiring physical documentation of the actual installation status.
2Manufacturing precision
If tolerance data specifying permissible deviations is implemented, then manufacturing precision requirements are clarified, but device complexity increases due to additional data generation and comparison processes
Solution Approach 1:
Tolerance data and evaluation criteria are predetermined and stored in the system before actual installation occurs. This preliminary setup allows the system to automatically evaluate installation status without requiring complex real-time decision-making processes, thereby reducing operational complexity while maintaining precision requirements.
Solution Approach 2:
The system uses parameter-based tolerance definitions that can be adjusted according to specific construction requirements. By changing parameters such as tolerance values and evaluation criteria rather than redesigning the entire system, the balance between precision and complexity is maintained through flexible parameter configuration.
3Reliability
If real-time comparison between desired installation status and actual installation status is performed, then reliability and safety are improved, but loss of time occurs due to additional measurement and evaluation steps
Solution Approach 1:
The system replaces manual measurement and comparison processes with automated measurement devices and computer-based evaluation. This substitution eliminates time-consuming manual operations while maintaining comprehensive quality checking, thereby improving reliability without excessive time loss.
Solution Approach 2:
The measurement and comparison processes are integrated into the construction workflow continuously rather than as separate interruptive steps. Measurement devices continuously monitor installation status, and comparisons are performed automatically as data becomes available, maintaining continuous useful action that minimizes time loss while ensuring reliability.
Data Source
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AI summary
A computer-aided method and a measuring device for analyzing the dimensional accuracy of a component in relation to its installation environment are described, enabling a comparison of a desired installation state with a temporary actual state. Furthermore, a measuring device for performing the steps of the aforementioned method is described.