{"product_id":"digital-twins-in-action-9781633434653","title":"Digital Twins in Action","description":"\u003ch1\u003eDigital Twins in Action\u003c\/h1\u003e\u003cp\u003e\u003cstrong\u003eGet the eBook FREE when you register your print book at Manning.\u003c\/strong\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cem\u003e\"Makes the theory tangible and the tools accessible, from a single sensor to a city-scale system.\"\u003c\/em\u003e— \u003cstrong\u003eAnthony Townsend, Cornell University\u003c\/strong\u003e\n\u003c\/blockquote\u003e\u003cblockquote\u003e\n\u003cem\u003e\"Digital Twins in Action takes you from a five-dollar temperature sensor to an AI agent making autonomous decisions!\"\u003c\/em\u003e— \u003cstrong\u003eSanjay Basu, PhD, VP of Gen AI and GPU Infrastructure at Oracle\u003c\/strong\u003e\n\u003c\/blockquote\u003e\u003cp\u003eA \u003cstrong\u003edigital twin\u003c\/strong\u003e is a virtual representation of a physical system that enables organizations to monitor, analyze, simulate, and optimize real-world assets without disrupting operations. From predictive maintenance and intelligent automation to smart factories and city-scale infrastructure, digital twins are transforming how businesses make data-driven decisions. \u003cstrong\u003eDigital Twins in Action\u003c\/strong\u003e provides a practical, hands-on roadmap for building production-ready digital twins using modern software engineering, IoT, machine learning, visualization, and AI technologies.\u003c\/p\u003e\u003cp\u003eWritten by industry expert \u003cstrong\u003eGreg Biegel\u003c\/strong\u003e, this comprehensive guide cuts through the hype surrounding digital twins and focuses on proven architectures, practical implementation techniques, and real-world engineering challenges. Whether you're a software developer, automation engineer, data engineer, or solutions architect, you'll learn how to design and deploy scalable digital twin platforms that bridge the physical and digital worlds.\u003c\/p\u003e\u003cp\u003eThrough step-by-step projects, you'll build a working digital twin suitable for an office or home environment while mastering key design concepts such as the \u003cstrong\u003eOpportunity-to-Data Mapping Chain\u003c\/strong\u003e and the \u003cstrong\u003eMinimum Viable Digital Representation (MVDR)\u003c\/strong\u003e. These practical frameworks help ensure your digital twin delivers measurable business value instead of becoming another technology experiment.\u003c\/p\u003e\u003cp\u003eThe book demonstrates how to collect and integrate data from multiple sources, including IoT sensors, legacy documentation, databases, and cloud platforms. You'll learn how to deploy physical sensor networks using \u003cstrong\u003eLoRaWAN\u003c\/strong\u003e and \u003cstrong\u003eWi-Fi\u003c\/strong\u003e, organize real-time messaging with standardized \u003cstrong\u003eMQTT\u003c\/strong\u003e topic hierarchies, digitize engineering documents using OCR, and create a unified data pipeline capable of supporting intelligent decision-making.\u003c\/p\u003e\u003cp\u003eVisualization is another essential component of successful digital twins. You'll discover how to model complex systems using \u003cstrong\u003esemantic knowledge graphs\u003c\/strong\u003e and \u003cstrong\u003eontologies\u003c\/strong\u003e, create interactive dashboards with \u003cstrong\u003eGrafana\u003c\/strong\u003e, and develop immersive 3D geospatial visualizations using \u003cstrong\u003eCesiumJS\u003c\/strong\u003e and \u003cstrong\u003eWebGL\u003c\/strong\u003e. These techniques enable both humans and intelligent systems to better understand complex environments.\u003c\/p\u003e\u003cp\u003eBeyond visualization, the book explores advanced analytics and artificial intelligence techniques that make digital twins truly intelligent. You'll build supervised image classifiers that function as virtual sensors, detect anomalies using \u003cstrong\u003eIsolation Forests\u003c\/strong\u003e, perform time-series forecasting with \u003cstrong\u003eAutoGluon\u003c\/strong\u003e, and combine machine learning with continuous and discrete-event simulations to predict system behavior. You'll also learn how autonomous AI agents can reason, plan, and optimize physical operations while maintaining secure and reliable cyber-physical boundaries.\u003c\/p\u003e\u003cp\u003eSecurity, scalability, and operational resilience receive equal attention. The book concludes by demonstrating how to deploy digital twins into production environments, monitor performance, protect critical infrastructure, and scale solutions confidently for enterprise applications.\u003c\/p\u003e\u003ch2\u003eWhat You'll Learn\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the complete digital twin architecture from physical assets to intelligent software systems.\u003c\/li\u003e\n\u003cli\u003eBuild practical digital twins using open-source and commercial technologies.\u003c\/li\u003e\n\u003cli\u003eDeploy hybrid IoT sensor networks using LoRaWAN and Wi-Fi.\u003c\/li\u003e\n\u003cli\u003eCollect, stream, and manage real-time data using MQTT.\u003c\/li\u003e\n\u003cli\u003eIntegrate relational databases, Parquet files, Delta tables, and cloud data platforms.\u003c\/li\u003e\n\u003cli\u003eCreate semantic models using ontologies and knowledge graphs with Memgraph.\u003c\/li\u003e\n\u003cli\u003eBuild interactive dashboards using Grafana.\u003c\/li\u003e\n\u003cli\u003eVisualize digital twins in 3D with CesiumJS and WebGL.\u003c\/li\u003e\n\u003cli\u003eApply machine learning for image classification, anomaly detection, and forecasting.\u003c\/li\u003e\n\u003cli\u003eCombine AI, simulations, and autonomous agents for intelligent decision-making.\u003c\/li\u003e\n\u003cli\u003eSecure cyber-physical systems for enterprise deployment.\u003c\/li\u003e\n\u003cli\u003eEvaluate projects using the Five-Level Digital Twin Maturity Model.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWhat's Inside\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eModel physical environments using semantic knowledge graphs and ontologies.\u003c\/li\u003e\n\u003cli\u003eDeploy hybrid IoT sensor networks and stream real-time data.\u003c\/li\u003e\n\u003cli\u003eIntegrate predictive machine learning, physics simulations, and AI agents.\u003c\/li\u003e\n\u003cli\u003eLearn the Five-Level Digital Twin Maturity Model.\u003c\/li\u003e\n\u003cli\u003eBuild production-ready digital twin applications from the ground up.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eWho Should Read This Book?\u003c\/h2\u003e\u003cp\u003eThis book is ideal for:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eSoftware Developers\u003c\/li\u003e\n\u003cli\u003eData Engineers\u003c\/li\u003e\n\u003cli\u003eSolutions Architects\u003c\/li\u003e\n\u003cli\u003eAutomation Engineers\u003c\/li\u003e\n\u003cli\u003eIoT Developers\u003c\/li\u003e\n\u003cli\u003eMachine Learning Engineers\u003c\/li\u003e\n\u003cli\u003eIndustry 4.0 Professionals\u003c\/li\u003e\n\u003cli\u003eSmart Manufacturing Engineers\u003c\/li\u003e\n\u003cli\u003eIndustrial Automation Specialists\u003c\/li\u003e\n\u003cli\u003eTechnical Consultants\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eReaders should have a basic understanding of machine learning. No prior experience with industrial automation or visual design is required.\u003c\/p\u003e\u003ch2\u003eTable of Contents\u003c\/h2\u003e\u003col\u003e\n\u003cli\u003eBridging the Physical and Digital Worlds\u003c\/li\u003e\n\u003cli\u003eMapping Physical Systems to Digital Representations\u003c\/li\u003e\n\u003cli\u003eSensing the Real World\u003c\/li\u003e\n\u003cli\u003eData Integration and Management\u003c\/li\u003e\n\u003cli\u003eModeling Reality\u003c\/li\u003e\n\u003cli\u003e2D Visualization and Insight\u003c\/li\u003e\n\u003cli\u003eSpatial Context and 3D Insight\u003c\/li\u003e\n\u003cli\u003eIntegrating Inference and Intelligence\u003c\/li\u003e\n\u003cli\u003ePredicting Outcomes with Simulation\u003c\/li\u003e\n\u003cli\u003eDigital Twins in Production\u003c\/li\u003e\n\u003c\/ol\u003e\u003ch3\u003eAppendices\u003c\/h3\u003e\u003cul\u003e\n\u003cli\u003eBuilding a LoRaWAN Network\u003c\/li\u003e\n\u003cli\u003eBuilding a Custom IoT Sensor\u003c\/li\u003e\n\u003cli\u003eCapturing a 3D Model Using Photogrammetry\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eAbout the Author\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eGreg Biegel\u003c\/strong\u003e has more than 20 years of experience designing and implementing production-scale digital twin systems. He spent six years developing a state-of-the-art industrial digital twin platform for one of Australia's leading energy producers and has extensive expertise in software engineering, industrial automation, IoT, artificial intelligence, and large-scale cyber-physical systems.\u003c\/p\u003e\u003cp\u003eWhether you're developing smart factories, industrial automation systems, energy infrastructure, or next-generation AI-powered applications, \u003cstrong\u003eDigital Twins in Action\u003c\/strong\u003e provides the practical knowledge, tools, and architectural guidance needed to build intelligent, scalable, and production-ready digital twin solutions.\u003c\/p\u003e\u003cp\u003e\u003ci class=\"a-icon a-icon-extender-collapse\"\u003e\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eEbook License\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eEnd-User Warranty And License Agreement\u003c\/p\u003e\u003cp\u003e1. 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