In this paper the model for a Multitask Monitoring Network involving properly connected nodes to develop a grid solution for preventive maintenance of slender buildings via early warnings is proposed. It is well known that the protection of urban centres generally goes from a large-scale monitoring to a local one and it could be significantly supported by multitask networks, however the model of such a monitoring system could enable the implementation of different analyses to provide alerts coming from various alert indicators. This monitoring network could share data and results among various processing systems. The final objective would consist in providing a collaborative tool to detect risk assessment and eventually ensuring different early warning indicators on slender buildings. In this way multiple hints for damage mitigation and safeguarding of assets could be assured.

On protecting and managing slender buildings from risk events via a Multitask Monitoring Network

POTENZA, FRANCESCO
2015-01-01

Abstract

In this paper the model for a Multitask Monitoring Network involving properly connected nodes to develop a grid solution for preventive maintenance of slender buildings via early warnings is proposed. It is well known that the protection of urban centres generally goes from a large-scale monitoring to a local one and it could be significantly supported by multitask networks, however the model of such a monitoring system could enable the implementation of different analyses to provide alerts coming from various alert indicators. This monitoring network could share data and results among various processing systems. The final objective would consist in providing a collaborative tool to detect risk assessment and eventually ensuring different early warning indicators on slender buildings. In this way multiple hints for damage mitigation and safeguarding of assets could be assured.
2015
9781510821071
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/109503
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