Traditional construction quality supervision largely depends on quality plans developed from construction experience and 2D drawings, with manual inspections and stage approvals. This approach limits supervisors’ ability to fully and promptly understand the overall quality status of the project. In contrast, 3D BIM models offer richer design information and a more intuitive format, enhancing the visual recognition capabilities for management and operational staff, which enables the creation of more reasonable and feasible quality plans.
Using a seven-dimensional construction management model, managers can track the project’s dynamic progress and evaluate quality status in real time. The entire quality supervision process, based on BIM technology, is conducted visually, significantly boosting communication efficiency. The continuous transmission, sharing, and integration of information among all stakeholders throughout the project lifecycle provide timely, accurate, and comprehensive data for quality supervision, resulting in highly efficient quality management.
The key advantages of BIM technology in construction quality supervision include:
(1) Visual communication delivers outstanding results. At the core of BIM is the three-dimensional model, which can be enhanced with additional dimensions such as schedule, cost, safety, and quality. This multi-dimensional 3D model conveys visual information far more effectively than traditional 2D drawings, providing richer design details. Visual communication enhances understanding and the efficiency of information transfer.
During construction, the team translates design schemes into physical structures based on drawings and standards. Visualization improves design quality and reduces changes while eliminating misunderstandings between design and construction phases. Construction workers can explore the model to better comprehend the proposed building, enabling them to develop practical and effective construction plans that enhance project quality.
Supervisors can also use these models to identify key zones and critical processes for targeted quality oversight, creating focused supervision plans. Additionally, project management platforms allow real-time monitoring of quality status, making the entire supervision process fully visualized.
(2) Real-time monitoring ensures high efficiency. Construction projects involve multiple parties across wide geographic areas and extended timeframes, requiring close communication and collaboration. Traditional communication based on 2D drawings and written reports is often abstract and prone to information silos.
BIM integrates detailed design and construction data, which dynamically updates with design changes, ensuring that model information remains consistent with official 2D drawings and corresponds to the actual building in real time. By establishing an information exchange and sharing platform, role-based access permissions can be configured for all participants, enabling efficient business processes and communication within a collaborative environment.
Quality management data can be swiftly collected via mobile devices such as smartphones and tablets, then uploaded to the collaborative platform and linked to specific model components. Access rights can be assigned to different users and roles, ensuring data objectivity and authenticity. Supervisors can access the platform on mobile devices to monitor project quality comprehensively and in real time, significantly improving oversight efficiency.
(3) Model-based acceptance enhances reliability. Supervisors can perform phased quality acceptance using BIM models combined with remote video monitoring. They can also bring mobile devices with models onsite for thorough quality inspections.
Random inspections of any site area are possible, with supervisors comparing the model’s complete design data against actual measured site data to determine acceptance levels. The collaborative platform stores extensive objective information generated throughout construction, further ensuring the reliability and accuracy of quality acceptance decisions.
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