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Manning Publications
Greg Biegel
Digital Twins In Action
N/A
2026
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Publisher > Manning Publications
Author > Greg Biegel
Title > Digital Twins In Action
Issue > N/A
Year > 2026
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ISBN > 9781633434653
Pages > 532
Genre > Data-Engineering
Language > English
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Type > RETAIL
Media > TECH
Format > .epub
Section > eBook
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Published > 2026-07
Release > 2026-08-09
Disks > 06 x 10 MB
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- - -- [ D E S C R I P T I O N ] -- - -
"Makes the theory tangible and the tools accessible, from a single sensor
to a city-scale system. Anthony Townsend, Cornell University A digital twin
is a virtual replica of a physical system that allows operations engineers
to perform predictive maintenance, run risk-free simulations, and make
smart, data-driven decisions. Digital Twins in Action teaches you how to
combine methods from software development, data science, robotics, and
visual design to create a powerful integrated platform. It uses both
standard open sources tools and commercial frameworks. Grounded firmly in
practical reality, it clarifies a topic clouded by marketing speak and
vague definitions. This hands-on book for software developers and
automation engineers guides you step-by-step as you build a small-scale
twin you can run in your office or home environment. Author and industry
veteran Greg Biegel introduces essential mental models like the
Opportunity-to-Data Mapping Chain and the Minimum Viable Digital
Representation (MVDR) to ensure your design serves concrete goals. Across
10 in-depth chapters, you will learn to prioritize diverse information
sources, extract legacy documents using OCR, deploy physical sensor
networks over LoRaWAN or Wi-Fi, and organize real-time streams with
standardized MQTT topic hierarchies. Reviewer Sanjay Basu, PhD, VP of Gen
AI and GPU Infrastructure at Oracle remarked, Digital Twins in Action takes
you from a five-dollar temperature sensor to an AI agent making autonomous
decisions! Because accurate visual simulations are an integral part of a
digital twin, this book dives into modeling and visualization techniques
that make virtual systems accessible to both humans and machines. Youll
master data integration across relational databases, Parquet files, and
Delta tables. Then, youll construct a semantic model of reality using
ontologies and knowledge graphs in Memgraph, render responsive 2D
dashboards using Grafana, and locate 3D mesh models geospatially on an
interactive digital globe using CesiumJS and WebGL. Modern digital twins
rely on advanced data analysis, integrating inference and simulation. You
will build supervised image classifiers to act as virtual sensors, use
unsupervised Isolation Forests for anomaly detection, and apply AutoGluon
for time-series forecasting. Youll also explore continuous and discrete
event simulations and learn how to construct autonomous AI agents that
reason, plan, and optimize physical behaviors. Finally, you will learn to
secure the cyber-physical boundary so you can confidently deploy, monitor,
and scale a resilient, auditable digital twin. About the Technology About
the Book What's Inside Model physical environments using semantic knowledge
graphs and ontologies How to deploy hybrid IoT sensor networks and stream
real-time data Integrate predictive machine learning, physics simulations,
and AI agents The five-level digital twin maturity model About the Reader
For software developers, data engineers, and architects who know the basics
of machine learning. No prior experience in visual design or industrial
automation required. About the Author Greg Biegel has designed and built
digital twins in production for over 20 years. His extensive industry
experience includes six years spent developing a state-of-the-art
industrial digital twin platform from the ground up for a leading
Australian energy producer. Quotes Valuable for anyone serious about
building a genuinely scalable and living twin. - Ali Benfattoum, Amazon Web
Services Offers a clear pathway toward building digital twins that create
measurable value. - Dana Kawas, Digital Twin Consortium Ambassador A
practical, hype-free guide that finally connects sensors, data, AI, and
autonomous agents into something you can actually build. - Ian Barkin, co-
author of All Hands on Tech Clear, practical, and grounded in the real
implementation challenges of digital twins. - Mark Boyle, Digital Twin
Consortium Ambassador A book of great relevance to all those involved in
building simulation models of a variety of physical systems. - Michael
Batty, University College London A must read for all digital twin
enthusiasts! - Michal Ukropec, twinzo Takes you from a five-dollar
temperature sensor to an AI agent making autonomous decisions. - Sanjay
Basu, Oracle
- - -- [ R E T A I L U R L ] -- - -
https://www.manning.com/books/digital-twins-in-action
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