Post-construction quality control primarily involves evaluating the finished project’s quality and managing a range of engineering quality inspection data. However, many companies tend to overlook the importance of managing this crucial engineering quality data.
(1) Traditional Project Completion Data Management: Companies often treat the project completion and acceptance phase as a mere formality. Consequently, managing completion data is frequently outdated and inefficient. Most of these records exist as paper documents, which are difficult to access and analyze, making comprehensive quality control challenging. Poor management can lead to damage or loss of critical engineering data, complicating efforts to address quality issues later on.
(2) BIM-Based Project Completion Data Management: To address the shortcomings of traditional data management, BIM technology offers a solution. Using BIM models and collaborative information platforms, completion data can be stored securely in the cloud. This ensures data preservation, easy access, and effective management of project completion information.
The BIM information collaboration platform boasts robust data storage capabilities, accommodating vast amounts of engineering data across all project stages. It organizes and links these data files with the BIM models. Each user, with different permission levels assigned through their platform accounts, can interact with the models—such as viewing or editing data. This facilitates seamless information sharing and collaboration among all project participants.
(3) Maintenance of Finished Product Quality: After project completion and acceptance, the building enters the operation and maintenance phase. Unfortunately, quality maintenance at this stage is often neglected, leading to a shortened lifespan of construction products. Historically, it has been difficult to identify and hold responsible parties accountable for quality issues in finished products, especially for those already in use.
(4) BIM-Based Maintenance of Finished Product Quality: Throughout the project lifecycle, all involved parties adhere to strict engineering information entry standards, promptly uploading various data types to the BIM collaboration platform to ensure data completeness. When quality issues arise, this platform allows users to access relevant quality information linked to the model, analyze root causes, and assign accountability for any defects.
Moreover, maintenance tasks can be established within the BIM model, aligned with specific quality standards, and assigned to responsible individuals. Automated reminders help ensure timely maintenance, preserving the functionality and reliability of finished products.
Must log in before commenting!
Sign Up