WHAT IS DIGITWIX
Digital Twin for Built Environment
We develop digital twins and services for the built environment using BIM models. The journey of digital transformation in the construction sector starts with BIM methodologies. Leveraging BIM models, we create digital twins tailored for asset and facility management.
WHAT IS DIGITAL TWIN
Digital Representative of a Physical Asset
A digital twin is a virtual representation of tangible assets or products. By gathering data from these assets, as well as real-time information from sensors, digital twins bridge the gap between the physical and digital realms. This amassed data is analyzed and mirrored in the virtual model of the asset. Consequently, insights derived from the digital twin are implemented in the actual assets.
Digital twin technology has the potential to contribute to several UN Sustainable Development Goals (SDGs), including:
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SDG 9: Industry, Innovation and Infrastructure: Digital twin technology can improve the efficiency, safety, and sustainability of infrastructure by providing real-time data and insights that can be used to optimize operations and reduce waste.
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SDG 11: Sustainable Cities and Communities: Digital twin technology can help cities and communities to develop more sustainable and efficient infrastructure, including transportation systems, water and wastewater management systems, and energy systems.
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SDG 12: Responsible Consumption and Production: Digital twin technology can help to reduce waste and improve the efficiency of production processes, leading to more responsible consumption and production patterns.
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SDG 13: Climate Action: Digital twin technology can support the development of more sustainable and efficient energy systems, as well as the monitoring and reduction of greenhouse gas emissions.
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SDG 15: Life on Land: Digital twin technology can help to improve the management and conservation of natural resources, including forests, wetlands, and other ecosystems.
FOR SUSTAINABLE FUTURE
What We Offer
Improved Efficiency:
Reduce waste and improve productivity by providing real-time monitoring and simulation of physical assets.
Enhanced Quality:
Identify and address any potential issues or defects, which can lead to better product quality.
Predictive Maintenance:
Predict when equipment failures might occur, enabling them to schedule maintenance and repairs proactively, which reduces downtime and maintenance costs.
Cost Savings:
Optimizing energy consumption, reducing waste, or improving production efficiency.
Improved Safety:
Identify and mitigate any risks to employee safety or damage to equipment.
Better Decision-Making:
Data-driven decisions about their assets and operations.
Asset Management
Seamlessly collect consruction related data from BIM models and create an asset's complete life cycle and sustainability
Facility Management
Integrate people and processes within the built environment and increase efficiency
Real-time Monitoring
Monitor, configure and manage 3D models including IoT sensor data and automated rules
Customized Reporting
Utilize powerful analytical tools for assessment of data and creating customized
BI reports
