Smart Sensing with Digital Twins
eBook - ePub

Smart Sensing with Digital Twins

Methane Emission Source Determination with sUAS

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Smart Sensing with Digital Twins

Methane Emission Source Determination with sUAS

About this book

This book explores the innovative use of small unmanned aircraft systems (sUAS)—commonly known as drones—for methane emissions monitoring (i.e., detection, localization, and quantification) by introducing smart sensing frameworks and digital twin technology.

Based on the concept of smart sensing, which combines mobile sensor data with physics-based models to provide actionable and timely insights, this book presents novel methods for monitoring and quantifying methane emissions, a potent greenhouse gas, using digital twins in single and multiple sUAS-based approaches. The first part of the book examines the methane sensing problem for detecting, locating, and quantifying emission sources, with case studies highlighting key observations and lessons learned from field experiments. The second part proposes what, why, and how digital twins should be used in environmental monitoring applications, covering both basic detection principles and advanced source localization and quantification techniques. This section shows how digital twins can enhance sUAS-based source detection and smart sensing methods.

With practical tools and field-tested examples, this book serves as both an introductory guide and advanced reference to environmental monitoring and is particularly valuable to researchers, students, engineers, and environmental professionals in engineering, environmental studies, and technology.

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Yes, you can access Smart Sensing with Digital Twins by Derek Hollenbeck,YangQuan Chen in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Environmental Management. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. Preface
  8. List of Acronyms
  9. Section I From Detection to Quantification: sUAS-Based Methane Sensing Techniques
  10. Chapter 1 ▪ The Methane Sensing Problem
  11. Chapter 2 ▪ Emission Source Detection
  12. Chapter 3 ▪ Emission Source Localization
  13. Chapter 4 ▪ Emission Source Quantification
  14. Chapter 5 ▪ Case Studies: LDAQ with sUAS
  15. Section II Embedding Smartness to the Emission Source Determination Problem Solutions
  16. Chapter 6 ▪ Digital Twin Framework
  17. Chapter 7 ▪ Case Studies: Digital Twins
  18. Chapter 8 ▪ Smart Sensing, Sensor Placement, and the Observability Gramian
  19. Chapter 9 ▪ Case Studies: Smart Sensing
  20. Chapter 10 ▪ Conclusions and Best Practices
  21. Index