Clove Technologies: Global Leaders in GeoBIM

Introduction

This project belongs to the Scan to BIM category, with a focus on transforming complex historical structures into detailed 3D models for the AEC industry. Our task was to model historical building, a heritage building with an intricate facade and structural complexities, preserving its historical essence while meeting modern BIM standards.

PROJECT INFORMATION:

Client:	Architects
SERVICE:	Scan to BIM
INDUSTRY:	Commercial

Software Used:

Revit

AUTOCAD

ALLPLAN

Allplan

Key Project Highlights

The historical building modeling project exemplifies our ability to integrate advanced technology with architectural heritage. This high-profile assignment reinforced our expertise in handling culturally significant structures while addressing the unique challenges of historical modeling, such as preserving fine architectural details and ensuring data accuracy across various formats.

Project Complexity

The project’s complexity originates from the elaborate facade design and the uneven roof structure. These features demanded unparalleled precision to capture complicated geometries and accurately map variations in the elevation. Furthermore, inconsistencies between the 2D architectural drawings and the point cloud data added another layer of complexity, requiring advanced methodologies to reconcile the discrepancies.

Methodology

We employed an extensive methodology to address the unique challenges posed by the project:

Data Integration: Using advanced software tools, we bridged the gaps between 2D drawings and point cloud data, ensuring seamless alignment and reducing loading issues.

Detail-Oriented Approach: Historical buildings like historical building demand excess detailing due to the intricacies of their architectural designs. To address this, additional software tools were employed to handle the complexity and manage the data loading challenges effectively. This approach ensured every architectural nuance was captured accurately.

Iterative Validation: Regular cross-validation between datasets ensured that the model adhered to both the architectural integrity of the original structure and modern BIM standards.

Challenges and Solutions

Challenges:

Uneven Roof: The roof’s irregularities led to elevation inconsistencies that complicated the alignment process.

Data Variations: Discrepancies between 2D drawings and point cloud data hindered smooth integration, requiring manual adjustments.

Preserving Detail: Historical buildings present some of the toughest architectural designs, requiring detailed modeling that often results in data loading issues.

Solutions:

Precision Tools: Two additional software tools were employed to integrate and align datasets with high accuracy, overcoming alignment and loading issues caused by the need for excess detailing.

Predictive Modeling: Advanced algorithms enabled the prediction of hidden geometries, such as non-visible piping routes. By referencing 2D drawings with incomplete point cloud data, we accurately inferred the routing of pipes, ensuring the model captured all critical components.

Focused Workflows: Dedicated workflows targeted critical areas like the roof and facade, ensuring the model captured every essential detail.

Advantages

Unmatched Accuracy: Advanced integration techniques provided precise alignment between 2D drawings and point cloud data, ensuring accuracy in both geometric and structural details.

Enhanced Predictive Capabilities: The ability to model unseen elements, such as concealed piping, added depth and practicality to the 3D model. By combining incomplete point cloud data with detailed 2D drawings, we accurately predicted pipe routing and geometry.

Efficient Workflow:Streamlined data processing reduced excess, improving overall project timelines and resource utilization.

Extensive Detailing:The final model preserved the architectural and cultural essence of historical building, offering a detailed representation that aligns with historical and modern requirements.

Scalable Expertise:The methodologies developed during this project have become a benchmark for future historical modeling assignments.

Conclusion

This project underscored our ability to merge advanced BIM methodologies with heritage preservation. By overcoming significant challenges such as data integration, excess detailing, and architectural complexity, we delivered a detailed and accurate 3D model of historical building. The inclusion of predictive modeling for hidden elements like pipe routing highlighted the depth and precision of our approach. The success of this project not only highlights our technical expertise but also reaffirms our commitment to preserving architectural history through innovative solutions. The methodologies and insights gained here set a strong foundation for future endeavors in the Scan to BIM domain, particularly for heritage structures.

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