Towards wireless sensor networks for railway infrastructure monitoring

• In recent years, there has been an increasing interest in the adoption of emerging sensing technologies for instrumentation within a variety of structural systems. Structural health monitoring systems are widely adopted to monitor the behavior of structures during forced vibration testing or natural excitation (e.g. earthquakes, winds, live loading). They can be found in a number of civil structures, including bridges and viaducts, and also in applications of vehicle health monitoring. Moreover, since infrastructures can be damaged by human originated threats, the adoption of security measures is also essential. This paper presents a proposal of an early warning system based on Wireless Sensor Networks (WSN) for railway infrastructure monitoring. It exploits already available research results and tools for WSN management, integration and data fusion. The aim is to hedge detection capabilities in a complete framework for structural failures as well as security threats, including both natural hazards and intentional attacks.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Inbäddad systemteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Embedded Systems (hsv//eng)

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)

Keyword

Distributed surveillance

Early warning

Infrastructure protection

Structural health monitoring

Wireless sensor networks

Structural health

Wireless sensor

Behavioral research

Bridges

Data fusion

Fracture mechanics

Health

Health risks

Marine engineering

Monitoring

Railroad transportation

Railroads

Sensor networks

Ship propulsion

Ships

Data- och informationsvetenskap

Computer and Information Sciences Computer Science

Software Technology

Publication and Content Type

ref (subject category)

kon (subject category)