Cittron Engineering
DCTL, INDIASPECIALITY CHEMICALS

CONVERSION OF 3D SCAN MODEL INTO INTELLIGENT 3D MODEL
PC PLANT

Designed for Brownfield engineering excellence, this scope transforms laser scan data into a validated intelligent 3D model that supports safe modifications, accurate planning, and efficient execution.

C-127 - CONVERSION 3D SCAN MODEL INTO INTELLIGENT 3D MODEL — Project

Owner

DEEPAK CHEM-TECH LIMITED

Client

DEEPAK CHEM-TECH LIMITED

PMC

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Location

DAHEJ, INDIA

Project Scope

Delivered intelligent digital modelling solutions by transforming laser scan data into a fully coordinated and engineering-ready 3D model for analysis, design integration, and brownfield execution.

The foundation of the project begins with the processing and validation of laser scan data captured from the existing facility. Mainly Includes: • Importing and managing large-scale point cloud datasets • Cleaning and optimization of scan data • Alignment and registration of multiple scan positions • Validation of scan accuracy and completeness • Segmentation of scan data for different plant areas and disciplines The processed point cloud serves as the reference environment for intelligent model development and ensures accurate representation of the existing facility conditions.

The validation process ensures: • Accurate spatial representation • Reliable dimensional control • Reduced modelling errors • Improved engineering confidence for brownfield projects • Identification of inaccessible or congested areas This stage is critical in minimizing site uncertainties and supporting precise engineering development.

Following validation of scan data, a fully intelligent and data-rich 3D model is developed. Model Development Includes: • Intelligent modelling of: o Piping systems o Equipment items o Structural systems o Pipe supports o Platforms and access structures • Creation of engineering objects with embedded attributes and metadata. Unlike conventional graphical models, the intelligent model contains engineering information linked directly to each object, enabling better design management and future engineering utilization.

Each modelled component is developed as an intelligent engineering object with associated technical information. Associated Attributes Include: • Equipment tag numbers • Pipe line numbers • Specifications and material classes • Sizes and ratings • Service descriptions • Structural member details • Support identification and specifications This intelligent data structure enables: • Automated report generation • Engineering analysis compatibility • Improved asset management • Efficient future modifications and revamps The intelligent environment significantly improves engineering productivity and design traceability.

The piping systems are modelled accurately based on the validated point cloud data and available engineering documents. Mainly Includes: • Pipe routing recreation from existing facility conditions • Identification of fittings, valves, and inline components • Integration of supports and connection details • Verification of elevations, slopes, and clearances • Modelling of process, utility, and offsite systems The modelling process ensures the digital representation closely matches actual site conditions.

The project includes detailed modelling of existing equipment and structural systems. Equipment Modelling Includes: • Vessels • Pumps • Heat exchangers • Tanks • Packages and skids Structural Modelling Includes: • Pipe racks • Platforms • Stairs and ladders • Structural steel members • Access systems and maintenance areas The integration of equipment and structures provides a complete engineering environment for future analysis and modifications.

Pipe supports and associated structural elements are integrated into the intelligent model to ensure realistic representation and engineering usability. Activities Include: • Support identification from scan data • Modelling of existing support configurations • Structural interface verification • Support tagging and attribute assignment This information is critical for: • Stress analysis • Modification studies • Structural load assessment • Brownfield execution planning

One of the key advantages of intelligent 3D modelling is the ability to perform detailed clash detection and multidisciplinary coordination. Mainly Includes: • Detection of physical clashes between systems • Verification of maintenance and access clearances • Identification of routing conflicts • Coordination between piping, structures, equipment, and E&I systems The coordinated model helps eliminate design conflicts before construction or modification activities begin.

The intelligent model undergoes continuous validation against the original point cloud data to ensure modelling accuracy. Validation Activities Include: • Dimensional verification • Alignment checks • Elevation and orientation confirmation • Consistency verification between model and site conditions This process ensures that the final model accurately reflects the as-built facility.

The intelligent model is integrated with available engineering documentation to improve design consistency and engineering reliability. Documents Typically Referenced Include: • P&IDs • General Arrangement Drawings • Isometric Drawings • Equipment Datasheets • Structural Drawings

Key Highlights

Successfully executed conversion of 3D scan (point cloud) data into intelligent 3D model for brownfield PC plant facility containing 09 areas, approx. 5500+ No. of lines, 1600+ No. of Equipment and plot area approx. 35820 m2.

Processed and validated point cloud data to ensure accuracy with actual site conditions.

Developed intelligent 3D model using including Piping systems, Equipment, Structural elements, Supports, Electrical and Instrumentation system.

Created data-rich intelligent objects with attributes such as: Tag numbers, Line numbers, Specifications and engineering data

Performed clash detection and model validation against scan data

Ensured accurate representation of existing plant conditions

Integrated model with existing engineering documents (P&IDs, layouts, datasheets)

Delivered outputs including: Intelligent 3D model, Model suitable for engineering analysis

Improved design accuracy, visualization, and decision-making

Reduced site rework and engineering uncertainties