Project Details
Description
The construction industry has historically been one of the least digitized major sectors and slow to embrace change. This has contributed to a significant productivity gap, where the benefits of digitization seen in other industries were not realized in construction. This often led to projects running over time and budget, affecting the industry's reputation and having societal impacts, such as inefficient use of taxpayer funds and inflated construction costs. In Ireland, this scenario contributed to its classification as a high-cost economy, impacting housing and other markets.
Recent years have seen some improvements through the use of Building Information Modelling (BIM), lean construction principles, and off-site construction. However, these advancements did not significantly enhance productivity, partly due to the fragmented nature of the industry and a lack of comprehensive integration.
Additionally, construction progress monitoring was largely manual and retrospective, despite available tools. This lack of real-time data often meant issues could compound before being addressed.
This project brought together a consortium of four key partners to produce a solution. These included Technological University Dublin’s School of Surveying and Construction Management, Evercam, UCD’s National Centre for Applied Data Analytics and AI (CeADAR), and John Paul Construction. These organizations combined expertise in education, video management software, data analytics, and construction contracting.
The project aimed to disrupt the construction industry by developing an automated progress monitoring system with supply chain integration. It utilized BIM, construction site cameras, machine learning, and technologies like bar-coding. This approach aimed to increase digitization and productivity, facilitate transparent progress tracking, and promote project-to-project learning, addressing the digital and productivity gaps previously observed.
Recent years have seen some improvements through the use of Building Information Modelling (BIM), lean construction principles, and off-site construction. However, these advancements did not significantly enhance productivity, partly due to the fragmented nature of the industry and a lack of comprehensive integration.
Additionally, construction progress monitoring was largely manual and retrospective, despite available tools. This lack of real-time data often meant issues could compound before being addressed.
This project brought together a consortium of four key partners to produce a solution. These included Technological University Dublin’s School of Surveying and Construction Management, Evercam, UCD’s National Centre for Applied Data Analytics and AI (CeADAR), and John Paul Construction. These organizations combined expertise in education, video management software, data analytics, and construction contracting.
The project aimed to disrupt the construction industry by developing an automated progress monitoring system with supply chain integration. It utilized BIM, construction site cameras, machine learning, and technologies like bar-coding. This approach aimed to increase digitization and productivity, facilitate transparent progress tracking, and promote project-to-project learning, addressing the digital and productivity gaps previously observed.
| Status | Finished |
|---|---|
| Effective start/end date | 25/09/21 → 17/12/23 |
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