Gartner defines big data as the utilization of new processing models to fully optimize workflows, enhance insights and decision-making capabilities, and address the diverse and rapidly growing needs of information assets.
The Integration of BIM and Big Data
The application of Building Information Modeling (BIM) integrates drawings, models, and calculation results, generating vast amounts of digital information. As digital technology and storage capabilities rapidly advance, the volume of data produced by engineering projects continues to grow. This data is increasingly diverse and complex, directly impacting communication and data delivery efficiency in project management.
Serving as the foundation of collaborative project platforms, BIM models facilitate communication and cooperation among designers, engineers, clients, and construction teams. They also play a crucial role in integrating models and managing project information throughout its lifecycle. By applying BIM, fragmented information within the construction industry can be consolidated, enabling effective analysis and utilization of the massive data generated.
At the 10th China Smart City Construction Technology Seminar and Equipment Expo, Fu Yonghui, Vice President of Guanglian Da, highlighted in his article “Practice and Prospects of Big Data Application in the Construction Industry” the scale of data in construction. Using China as an example—the world’s largest construction market with approximately 680,000 projects in 2016—he noted that BIM technology doubles the amount of construction industry information. Guanglian Da estimates that an average building lifecycle generates 101 layers of data, illustrating the enormous untapped data reservoir within the construction sector. This vast data ocean requires exploration, prompting researchers worldwide to focus on data mining and analysis in construction.
Traditional project management often relies heavily on the experience of technical and managerial staff, making it challenging to achieve refined and standardized processes. As the carrier of construction project information, BIM enhances transparency and effectively communicates data to all stakeholders. When combined with big data, it allows teams to learn from past project successes and avoid repeating previous mistakes.
With the advent of big data, engineers can effortlessly access the cost data they need and rapidly analyze redundant information. This capability enables the creation of a reliable, comprehensive database. Through in-depth mining and research, this data forms the foundation for new, efficient working models.
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