Overview

In the new era of intelligent industry, data is no longer just collected; it thinks. Smart Soft Sensors is a groundbreaking exploration of how data, algorithms, and cognition converge to transform the world's most complex industrial systems. Written by Kaveh KakaeiNezhad (KAV), a philosopher, writer, and researcher of artificial intelligence, this book reveals how modern refineries, petrochemical plants, and energy systems are evolving into cognitive organisms that can learn, adapt, and make decisions in real time. The book bridges the gap between process engineering and artificial intelligence, guiding readers through the evolution of soft sensors from early inferential models to advanced deep-learning and hybrid AI architectures. Through clear explanations and real-world applications, it demonstrates how these virtual sensors empower engineers to estimate unmeasurable process variables, optimize operations, and enhance safety and sustainability across every layer of industrial automation. Each chapter integrates theory and practice with precision and insight. Readers will explore key topics such as Kalman and Bayesian filtering, Moving Horizon Estimation (MHE), Physics-Informed Neural Networks (PINN), Graph Neural Networks (GNN), and Transformer-based architectures for time-series analysis. Practical case studies from Japan, Norway, China, and Saudi Arabia showcase how leading companies are applying these techniques to revolutionize production efficiency, predictive maintenance, and environmental performance. Unlike conventional engineering books, Smart Soft Sensors does not stop at algorithms. It delves into the philosophy of intelligence within machines, examining how data becomes knowledge and how industrial systems acquire awareness. It challenges readers to rethink the relationship between human expertise and artificial cognition, between control and comprehension. This comprehensive guide is ideal for: Process and control engineers seeking to master AI-enabled monitoring. Data scientists and researchers exploring real-time industrial intelligence. Managers and innovators are aiming to implement digital transformation in energy sectors. Students and academics interested in modern applications of AI in process industries. By the end of this book, readers will understand how soft sensors act as the nervous system of intelligent plants, sensing, predicting, and adapting with the precision of data and the depth of cognition. More than a reference manual, it is a visionary manifesto for the future of engineering, where data is not only measured but truly understood. ""Smart Soft Sensors is not just about technology, it's about the intelligence emerging within the machines we build.""

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