This paper proposes a Wireless Crack Detection System (WCDS) for concrete structures based on IoT and Acoustic Emission (AE). A crack is a rupture inside the building material occurring due stress, aging, and other damaging factors. When a crack occurs, energy is released in term of an ultrasonic wave, also, known as AE. The WCDS objective is to timely detect cracks and wirelessly transmit the collected data to a central server for analysis. The AE sensor captures the crack signals, which undergo analogy signal processing to improve signal quality and remove noise. The acquired signals are analysed, and if a crack is detected, the proposed system extracts the features from the signal, generates a GPS-based timestamp with microsecond accuracy, and uses the MQTT protocol to send the data to the server (Raspberry Pi). Node-RED is utilized for data visualization, making it simple for users to monitor the system and study the crack signals.

Wireless Crack Detection System Based on IoT and Acoustic Emission

Sayyaf M. I.
Membro del Collaboration Group
;
Carni D. L.
Writing – Original Draft Preparation
;
Lamonaca F.
Membro del Collaboration Group
2023-01-01

Abstract

This paper proposes a Wireless Crack Detection System (WCDS) for concrete structures based on IoT and Acoustic Emission (AE). A crack is a rupture inside the building material occurring due stress, aging, and other damaging factors. When a crack occurs, energy is released in term of an ultrasonic wave, also, known as AE. The WCDS objective is to timely detect cracks and wirelessly transmit the collected data to a central server for analysis. The AE sensor captures the crack signals, which undergo analogy signal processing to improve signal quality and remove noise. The acquired signals are analysed, and if a crack is detected, the proposed system extracts the features from the signal, generates a GPS-based timestamp with microsecond accuracy, and uses the MQTT protocol to send the data to the server (Raspberry Pi). Node-RED is utilized for data visualization, making it simple for users to monitor the system and study the crack signals.
2023
978-1-6654-5693-7
Acoustic Emission
concrete
Crack detection
Edge computing
IoT
Smart sensor
Wireless sensor
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/360899
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