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INFRASTRUCTURE AS A SENSOR
Distributed Sensing and Physical Observability
The world is full of signals. The hard part is knowing what they mean.
A bridge vibrates. A pipeline experiences a pressure transient. An optical fiber responds to a passing disturbance. A communication network carries data shaped by the physical environment.
These events may leave measurable traces-but a detected signal does not automatically reveal its source, and a measurement does not automatically become reliable knowledge.
What would it take to turn the infrastructure around us into a more capable platform for distributed observation?
Infrastructure as a Sensor: Distributed Sensing and Physical Observability explores the engineering challenges behind that question. Building on the physical foundations of distributed observation, this volume moves toward sensing architectures, signal pathways, measurement constraints, and the problem of determining what real-world data can legitimately tell us.
Inside this volume, explore:
Distributed sensing architectures: How physical infrastructure and measurement systems can work together to capture information about their surroundings.
Physical observability: Why detecting a disturbance and identifying its underlying cause are fundamentally different challenges.
Optical and other sensing pathways: How signal propagation, physical coupling, and measurement design influence what can be observed.
Noise, resolution, and uncertainty: Why real-world conditions can limit the reliability and interpretation of measurements.
From signals to evidence: How to think critically about data, competing explanations, and the limits of engineering inference.
The central challenge is not simply to collect more data. It is to understand the complete chain connecting a physical event to a measurement-and the reasoning that turns that measurement into a defensible conclusion.
For engineers, researchers, postgraduate students, and technology professionals, this book offers a systems-oriented exploration of the opportunities and constraints of infrastructure-based sensing.
It does not assume that every signal can identify its source or that existing infrastructure can replace every dedicated sensor. Instead, it examines the engineering questions that must be answered before distributed observation can be trusted.
Because the future of sensing will depend not only on what we can detect, but on what we can reliably know.
Volume II of The Instrumented World series - From physical signals to intelligent infrastructure.
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