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Virtual representations of physical environments integrated with data from diverse sources
Analyzing and optimizing complex physical systems through traditional methods can be cumbersome and limited in their ability to capture timely insights. Deploying digital twin technology virtually replicates and mirrors the structure and behavior of their physical assets. Through digital twins they can get a simplified visual context of their assets (equipment, sites, products, processes) performance and related processes, saving time and operational costs related to system analysis and optimization. These digital models integrate data across IoT sensors, spatial information, and advanced analytics to provide a holistic view for customers. The AWS Digital Twin Framework provides a unified architecture spanning data collection, spatial data lakes, predictive modeling, and applications that consume and action the data. This framework enables flexible pathways to build and scale digital twin deployments across multiple business outcomes like asset performance management, product and process optimization, engineering design, site layout optimization, and an augmented workforce.
Ansys Minerva secures critical simulation data, provides process and decision support, and delivers immediate benefits by connecting powerful simulation and optimization solutions to your existing ecosystem of tools and processes.
A Digital Twin enables your machines speak to you.
A Digital Twin is a super integrator; it can contextually ingest information stream from every idea, every process, every machine, every stakeholder, and eventually, the business objectives of the enterprise.
A Digital Twin brings all the experts together on a collaborative platform, enabling helpful analyses, diagnostics, and prognostics. This facilitates a seamless interconnect of everything and everyone by onboarding them on a comprehensive communication network called the Digital Highway.
Matterport Artificial intelligence and machine learning technologies enable the creation of digital twins, which are dimensionally accurate 3D digital models that can be updated quickly to reflect changes with its physical counterpart.
Lean Daily Management (LDM) Suite is a visual management tool for day-to-day operations of a manufacturing plant. It provides the capability to take immediate action to manage the issues occurring around 4Ms of manufacturing - Machine, Material, Method and Man.
This Guidance demonstrates how to leverage AWS services to create digital twins for industrial Internet of Things (IoT), spatial compute, and simulation use cases.
This Guidance helps you orchestrate and deploy a Level 4 digital twin that is capable of self-calibration based on data from the physical entity and the environment.
This Guidance provides a set of artifacts that will guide customers in building a production monitoring architecture with AWS IoT TwinMaker and supporting services.