Harness the Power of Autodesk Tandem and BIM Technology
By combining BIM’s 3D modeling capabilities with the real-time data and simulation features of digital twins, our Autodesk Tandem experts empower organizations with an advanced platform for efficient design, construction, and ongoing management of assets as they evolve through their lifecycle, ensuring optimal performance and sustainability.
The Descriptive Twin is the first level in Autodesk’s digital twin lifecycle. This level is the foundation for all of a physical asset’s data. The Descriptive Twin provides users with real-time information about a physical asset, such as a building or facility, through a live and interactive experience. The asset’s static characteristics, such as its geometry, materials, and initial conditions are captured at this level and incorporated into a virtual model representing the asset’s real-world structure with total precision.
The Informative Twin elevates the Descriptive Twin by providing additional layers of operational and sensory data. This second level within Autodesk’s digital twin evolution goes beyond static attributes and secures real-time information, such as sensor readings, performance metrics, and environmental conditions. By integrating live data from IoT devices and other monitoring systems, we enable the Informative Twin to analyze the asset’s current state, recognize patterns, and predict possible issues. This level of insight facilitates informed decisions, optimized asset performance, and improved operational efficiency.
The Predictive Twin in Autodesk's digital twin lifecycle takes the Informative Twin to the third stage in its evolution by analyzing operational data to deliver valuable insights and forecasts. The Predictive Twin can forecast the physical asset’s possible future conditions and performance trends by applying advanced analytics, ML algorithms, and AI. This preemptive approach allows stakeholders to determine maintenance needs, restructure resource allocation, and avert potential failures. The Predictive Twin uses real-time data and predictive modeling to ensure efficient asset management and maximizes the asset's lifespan.
The Comprehensive Twin offers a powerful simulation platform for examining future what-if scenarios. At the fourth level, the digital twin becomes an advanced virtual replica of the physical asset, adept at modeling complex interactions and simulating several operational conditions. Our expert-level programming enables testing different strategies, modifications, and interventions to evaluate their potential impact on the asset's performance. The Comprehensive Twin’s ability to predict outcomes allows decision makers to proactively optimize asset design, operations, and maintenance, resulting in more robust and proficient systems in the real world.
The Autonomous Twin possesses the remarkable ability to learn and act on behalf of users. This level is defined by our integration of sophisticated AI and autonomous decision-making capabilities. Through continuous data analysis and ML algorithms, the Autonomous Twin can identify patterns, isolate anomalies, and optimize performance autonomously. It can intuitively perform actions, such as self-healing, self-optimization, and predictive maintenance, with no human involvement. This level of automation allows organizations to realize unprecedented levels of efficiency, reliability, and sustainability in their assets and operations.