Digital Twin (Integrated Asset Performance Management) is a dynamic software model of a physical asset or process that relies on sensor and instrumentation data to understand its state, respond to changes, predict outcomes, improve operations and aid judgements for business decisions. It is a cyber-physical system that involves modeling industrial assets with all their geometrical data, kinematic functionality and logical behavior permitting business operations to be simulated, controlled and improved.

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 on-boarding them on a comprehensive communication network called the Digital Highway. It creates an ecosystem for harvesting actionable information specifically tailored to drive identified competitive, operational or business advantage.

Key traits of Digital Twin:

Tailor made, organization driven, modular digital transformation solution
Cyber-physical system built on sensors, software and services framework
Has four layers: Connect - Collect - Consume - Cognition
AI-powered Integrated Asset Performance Management that relies on natural intelligence and first principles
Digital prediction machine that generates physics, engineering and business insights
Enhanced by virtual sensors and 3D interactive, immersive environment
Set of evolving digital engineering models built to address specific business problems
Digital tool to transform traditional workforce into a interdisciplinary digital workforce
Collaborative digital solution enabling the C-suite to drive business outcomes
"This application is available in English and German language".

Digital Twin (IAPM)

avtor: Bosch