Digital Twins which Connects billions of Things | iNNovationMerge

Digital Twins which Connects billions of Things

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  • Digital Digital twin is a Virtual model of Product or Service, nothing but digital replica of living or non-living physical entity. These virtual replicas of physical devices used by data scientists and IT pros to run simulations before actual devices are built and deployed.
  • Michael Grieves at the University of Michigan first wrote of the concept using the digital twin terminology in 2002. This technology incorporates Big Data, Artificial Intelligence (AI), Machine Learning (ML) and Internet of Things are key in Industry 4.0.
  • That’s likely why digital twin technology was included on Gartner’s Top 10 Strategic Technology Trends for 2017 and 2018. Gartner predicted there would be 21 billion connected sensors by 2020, making digital twins possible for billions of things.


  • This pairing of the virtual and physical worlds allows analysis of data and monitoring of systems to head off problems before they even occur, prevent downtime, develop new opportunities and even plan for the future by using simulations.
  • The digital twin will act as a live model of the physical Equipment. Companies use digital twin technology for many reasons including to improve ongoing operations, train employees and to test new products or procedures before launching them to the real world where it becomes more expensive and complicated to fix any issues.


  • The widespread reach and usage of the Internet of Things have made the Digital Twins more cost-effective and accessible for the business world. Predictive maintenance using Digital Twins can provide a new service-based revenue stream while helping improve product reliability.
  • In process planning and Optimization Twins helps to diagnose the root cause of any inefficiencies and throughput losses, thereby optimizing yields and reducing wastes


  • Since smart components use number of sensors to gather data about real-time status, working condition etc, where sensors are integrated with a physical item. Those components are connected to a cloud-based system that receives and processes all the data the sensors monitor.
  • Aim is to provide secure and reliable data transfer from physical devices to the digital world, this input is analyzed against business and other contextual data.
  • Matured digital twins of various single components can later be interconnected to form a large, composite twin of a highly complex machine or process.
  • Also, recursively monitoring and measuring created values over time will provide a better idea where the most tangible benefits can be realized.

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  • NASA used pairing technology, the precursor to digital twin technology, from the earliest days of space exploration to solve the issue of operating, maintaining and repairing systems when you aren’t near them physically.
  • This was precisely how engineers and astronauts on Earth determined how to rescue the Apollo 13 mission. Today, digital twins are used at NASA to explore next-generation vehicles and aircraft.

Siemens Digital twin

  • Siemens enables companies in the process industry to build a comprehensive data model from plant engineering to operation. In this field as well, digitalization ensures a shorter time to market, greater flexibility, and increased efficiency.
  • A lean team of young engineers at Electra Meccanica designed, simulated, and manufactured its new electric car in only two years, thanks to the digital twin
  • Source:
  • The project Bozhon and Siemens in Germany created a digital twin for a machine that was manufactured concurrently in China. It involved an assembly cell with robot arms, and it was used at the trade show to demonstrate how the front and back of a cell phone housing are joined together.
  • While the developers were working step-by-step to simulate the machine using the digital twin while also completing a virtual commissioning process, the real machine.
  • Fast development and commissioning of machines creates a crucial advantage for machine manufacturers in their race against the competition and the digital twin puts them a step ahead.

Philips Healthcare Digital Twin

  • A model of a physical object a twin enables you to monitor its status, diagnose issues and test solutions remotely. The future of personalized healthcare right type of care in right way and right time.
  • Imagine every patient has a digital twin a virtual representation of his health status. Mr. Clark has been diagnosed with atrial fibrillation is seeing Dr Sullivan his Cardiologist, Mr. Clark Digital twin and Analysis explained below
  • Source: Philips

GE’s Network Digital twin

  • GE Digital’s ADMS, GIS, AEMS technologies help grid operators create a Network Digital Twin, which provides a connected view of the end-to-end network of assets, based on real operational data.
  • It includes as-is, to-be, and real-time views of the network and enables all departments to contribute and consume data that help deliver better outcomes. Demonstration of Network Digital twin explained above
  • Source: GE

Aspen Tech Digital twin

  • Right when most refineries are preparing to meet the new IMO regulations on sulfur emissions, Aspen Tech launched the molecule-based hydro-cracker simulation model in Aspen HYSYS V11. This model computes reaction kinetics at the molecular level, significantly enhancing prediction accuracy.
  • Source: Aspentech

Invicara Digital Twins of Buildings

  • Invicara Digital Twins bring together all information you need to manage your buildings, empowering your people and fueling your business systems with rich data.
  • Create a Digital Building Manual with complete, up-to-date data and documents about equipment, spaces.
  • Provide a 360-degree view of building information in a single pane of glass, turn building information into business intelligence, with a path to automating and optimizing building and portfolio management