
A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration
AI and Its Application to Complex Industrial Processes
- English
- ePUB (mobile friendly)
- Available on iOS & Android
A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration
AI and Its Application to Complex Industrial Processes
About this book
An expert discussion of intelligent optimization control in complex industrial processes
In A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration: AI and Its Application to Complex Industrial Processes, a team of distinguished researchers delivers an innovative new approach to integrating virtual mechanism data generated through coupled numerical simulation and orthogonal experimental design with real historical data. The book explains how to create a heterogenous ensemble prediction model for carbon monoxide emissions in municipal solid waste incineration (MSWI) processes.
The authors focus on intelligent optimization control of MSWI processes based on hardware-in-loop DT platforms. They demonstrate AI-driven modeling, control, optimization algorithms in real-world applications, including virtual-real data hybrid-driven deep modeling and intelligent optimal controls based on multiple objectives.
Additional topics include:
- A thorough introduction to numerical simulation modeling of whole industrial processes
- Comprehensive explorations of the design, implementation, and validation of hardware-in-loop digital twin platforms
- Practical discussions of AI-driven modeling, control, and optimization
- Fulsome descriptions of the skills required to address challenges posed by complex industrial processes
Perfect for environmental engineers and researchers, A Hardware-in-Loop Digital Twin Approach for Intelligent Optimization of Municipal Solid Waste Incineration will also benefit MSWI plant operators and managers, as well as AI and machine learning researchers and developers of environmental monitoring and control systems.
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Information
Table of contents
- Cover
- Table of Contents
- Series Page
- Title Page
- Copyright Page
- List of Figures
- List of Tables
- About the Authors
- Preface
- Abbreviations
- Symbol Meaning
- 1 Introduction
- Part I: Modeling and Monitoring Based on AI
- Part II: Control and Optimization Based on AI and Digital Twin
- Part III: Hardware-in-loop Digital Twin Platform Design and Validation
- Index
- End User License Agreement