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The Client’s Challenge
The client, with plants across 25+ sites, sought an innovative digital twin solution that would provide a 360-degree view and real-time insight into the manufacturing operation. A critical challenge was adoption—driving consistent usage of the Digital Twin across sites, roles, and geographies, and ensuring it delivered measurable business value rather than remaining a static visualization tool.
LTTS (L&T Technology Services) was selected due to its vast experience and expertise in integrating 3D models with engineering data to support the entire plant lifecycle, from design to operations.
What LTTS Enabled
Derivation of the Capital Facilities Information Handover Standard (CFIHOS++Data Model) to create 3D plant digital twins, provides a standardized, high-fidelity foundation for digital asset management and operational optimization. This method combines 3D models with engineering information to facilitate end-to-end support. Salient points:
A comprehensive digital twin spanning site assessment to the full use‑case journey, integrated with advanced analytics to deliver real‑time insights for decision making.
The digital twin, along with architecture, is highly scalable and caters to 25+ sites, with minimal modifications, while ensuring standardization.
Key details regarding the LTTS 3D plant digital twin and CFIHOS data model include:
Outcome‑Led Digital Twin: Comprehensive digital twin lifecycle coverage—from building the twin to operational deployment—driven by a stringent focus on use‑case prioritization, data maturity, and measurable ROI.
CFIHOS++ Data Model: LTTS leverages a customized ("++") version of the CFIHOS to structure data and documents, ensuring seamless interoperability and standardization for plant assets.
i3PDS™ Integration: LTTS uses its proprietary i3PDS™ (Integrated Intelligent Plant Digital Service) platform to create these digital twins, which supports 4D and 5D project delivery.
4D/5D Capability: The digital twins incorporate 3D models with 4D (time/schedule) and 5D (cost/material) data.
Real-time Monitoring: The digital twins are designed to connect physical assets to digital representations using IoT sensors, allowing for real-time visualization of performance, such as temperature, pressure, and vibration.
Application Areas: These models are used for predictive maintenance, remote monitoring, and optimizing engineering processes for plant operators.
The LTTS Edge
AI/ML based AInfonix network.
Deep domain and multi-year expertise across process industries – Oil & Gas, Chemicals, FMCG, and discrete manufacturing.
Multi-geo delivery facilities and Engineering Value Centers (EVCs).