BIM technology can be understood as the capability to represent construction information, processes, and resource allocation across different stages of a project within a comprehensive model. This model serves as a complete information resource accessible to all stakeholders involved. By leveraging BIM, all project data is collected centrally, enabling seamless information sharing and coordinated development among participants. This approach helps reduce production costs and ensures projects are completed on time and to high quality standards.

The introduction of BIM technology has revolutionized the construction industry. Unlike traditional CAD technology, BIM offers advantages such as completeness, interconnectivity, consistency, and the ability to simulate projects.
The value of BIM lies in its effective resolution of many challenges found in CAD-based workflows, providing faster and more efficient solutions for practical problems. Internationally, BIM’s practical benefits are widely recognized. These benefits can be categorized into overall and specific (local) practical values.
The overall value of BIM technology is its ability to integrate information from multiple units, disciplines, and project phases into a shared platform. This group-oriented engineering application, built on a unified project foundation, prevents redundant work and improves management of costs, schedules, and quality. For instance, during construction, contractors can extract essential data and develop construction schedules directly from the BIM model, eliminating the need to first interpret CAD drawings before updating progress.
Local practical value refers to BIM’s use within specific areas of a project. For example, construction companies can apply BIM for dynamic management of critical processes or quality control checkpoints. Collision detection during pre-construction helps identify potential issues in pipeline installation, reducing unnecessary rework. Additionally, during the operation and maintenance phase, BIM allows for comparison between the model’s quality data and actual site conditions, optimizing maintenance plans.















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