Structural Health Monitoring (SHM) systems play an important role in the defence of historical heritage. In fact, it is necessary to monitor and analyse the information that highlight the state of health of the structure. Unfortunately, in the realization of the monitoring system it is necessary to place several sensor nodes in place where it is not simple or possible the connection to the mains power supply. Moreover, it is necessary the fast detection of critical situation in which the state of conservation of an historical building can deteriorate. For these reasons in the paper is proposed the design of a low power consumption long range communication system. This design is proposed as an innovation of previous work, and the use of machine learning an algorithm to analyse the data.

Structural Health Monitoring (SHM) systems play an important role in the defence of historical heritage. In fact, it is necessary to monitor and analyse the information that highlight the state of health of the structure. Unfortunately, in the realization of the monitoring system it is necessary to place several sensor nodes in place where it is not simple or possible the connection to the mains power supply. Moreover, it is necessary the fast detection of critical situation in which the state of conservation of an historical building can deteriorate. For these reasons in the paper is proposed the design of a low power consumption long range communication system. This design is proposed as an innovation of previous work, and the use of machine learning an algorithm to analyse the data.

Structural health monitoring system design for historical heritage building

Carni D. L.;Scuro C.;Olivito R. S.;Lamonaca F.;Ali G.;
2022-01-01

Abstract

Structural Health Monitoring (SHM) systems play an important role in the defence of historical heritage. In fact, it is necessary to monitor and analyse the information that highlight the state of health of the structure. Unfortunately, in the realization of the monitoring system it is necessary to place several sensor nodes in place where it is not simple or possible the connection to the mains power supply. Moreover, it is necessary the fast detection of critical situation in which the state of conservation of an historical building can deteriorate. For these reasons in the paper is proposed the design of a low power consumption long range communication system. This design is proposed as an innovation of previous work, and the use of machine learning an algorithm to analyse the data.
2022
Structural Health Monitoring (SHM) systems play an important role in the defence of historical heritage. In fact, it is necessary to monitor and analyse the information that highlight the state of health of the structure. Unfortunately, in the realization of the monitoring system it is necessary to place several sensor nodes in place where it is not simple or possible the connection to the mains power supply. Moreover, it is necessary the fast detection of critical situation in which the state of conservation of an historical building can deteriorate. For these reasons in the paper is proposed the design of a low power consumption long range communication system. This design is proposed as an innovation of previous work, and the use of machine learning an algorithm to analyse the data.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/335201
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