17809066. CONTEXT AWARE OPTIMIZED DIGITAL TWIN MODEL CREATION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

From WikiPatents
Jump to navigation Jump to search

CONTEXT AWARE OPTIMIZED DIGITAL TWIN MODEL CREATION

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Shailendra Moyal of Pune (IN)

Akash U. Dhoot of Pune (IN)

Nitika Sharma of Pune (IN)

Sarbajit K. Rakshit of Pune (IN)

CONTEXT AWARE OPTIMIZED DIGITAL TWIN MODEL CREATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17809066 titled 'CONTEXT AWARE OPTIMIZED DIGITAL TWIN MODEL CREATION

Simplified Explanation

The patent application describes a method for building a subset of a digital twin model for a machine. A digital twin model is a virtual representation of a physical machine that can be used for monitoring and analysis purposes.

  • The processor monitors the digital twin model of the machine for any changes.
  • If a change is detected, the processor analyzes the contextual situation of the machine and the activities performed by the machine.
  • If the contextual situation has changed, the processor analyzes the data generated by the sensors of the machine.
  • The processor determines if the sensors are generating the required type and amount of data to create a subset of the digital twin model.
  • If the requirements are met, the processor creates the subset of the digital twin model incorporating the detected change.

Potential Applications

  • Industrial machinery monitoring and analysis
  • Predictive maintenance for machines
  • Optimization of machine performance

Problems Solved

  • Efficiently updating a digital twin model when changes occur in the machine
  • Ensuring that the subset of the digital twin model includes the necessary data for accurate analysis

Benefits

  • Real-time monitoring and analysis of machine performance
  • Improved predictive maintenance capabilities
  • Enhanced optimization of machine operations


Original Abstract Submitted

In an approach for building a subset of a digital twin model, a processor monitors a digital twin model of a machine for one or more changes to the machine. Responsive to detecting a change to the machine, a processor analyzes one or more aspects of the machine, wherein the one or more aspects of the machine include a contextual situation of the machine and one or more activities performed by the machine. Responsive to determining the contextual situation of the machine has changed, a processor analyzes one or more sensors and a first set of data generated by the one or more sensors. A processor determines the one or more sensors are generating a required type of data and a required amount of data to create a subset of the digital twin model. A processor creates the subset of the digital twin model incorporating the change detected.