Quality control in construction primarily involves monitoring intermediate products during construction, evaluating sub-projects, reviewing modifications and changes to construction drawings, and overseeing the construction process itself. Collecting, inputting, and processing quality data throughout construction is crucial for effective quality control and directly influences the overall project quality.
(1) Traditional Construction Technology Disclosure. Traditionally, construction technology disclosure is conducted by professional technicians through written documents accompanied by oral presentations. This approach relies heavily on two-dimensional construction drawings and technical documents, depending largely on the experience of construction personnel. However, it lacks visual representation of process flows and key procedures, and does not allow for rehearsing or demonstrating the effectiveness of technical plans. Consequently, this method suffers from overreliance on personnel experience, limited intuitiveness, and poor simulation capabilities.
(2) BIM-Based Visual Construction Technology Disclosure. Leveraging BIM’s visualization advantages, construction personnel can review the BIM model and watch fly-through videos before construction begins, gaining a comprehensive understanding of the project. During construction, combining BIM models with traditional drawings helps teams grasp specific tasks and details, especially in complex areas with dense piping. This reduces errors caused by misinterpreting 2D drawings, minimizes rework, and prevents potential quality issues. For more complex processes, BIM allows simulation of construction procedures, enabling teams to identify and address critical challenges early on. The finalized BIM model also facilitates communication and coordination among workers, improving efficiency and ensuring quality. Issues identified within the model can be resolved before or during construction, preventing overlooked problems and quality risks.
(3) On-Site Quality Management Challenges. Quality control on construction sites often faces several issues: lack of clear individual responsibility leads to blame-shifting and unresolved problems; quality-related information is usually recorded on paper, making it difficult to store, retrieve, and analyze; unresolved quality issues can carry over to subsequent stages, creating hidden risks; and inefficient information sharing prevents management from monitoring real-time quality conditions effectively.
(4) BIM-Based On-Site Quality Management. Using the BIM model alongside a collaborative information platform and a supporting mobile app, construction teams can input, update, and manage project information to control on-site quality effectively. Quality inspectors use the app to capture photos of issues, convert them into digital quality reports linked to specific components, and upload them to the platform. This triggers automated creation of rectification orders and notifies responsible parties. Once issues are resolved, responsible personnel upload photos as proof, and quality inspectors verify the corrections on site. Only after verification is the rectification order closed; otherwise, the process continues. This system enables real-time tracking of both quality issues and their resolution status, establishing a streamlined BIM-based workflow for managing on-site quality control.
Must log in before commenting!
Sign Up