Open AccessPreliminary study on a novel Optimal Placed Sensors method based on Genetic Algorithm.
Author(s) -
Carmelo Scuro,
Francesco Demarco,
Renato Sante Olivito,
P Wang,
Gabriele Milani,
S Li
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2204/1/012038
Subject(s) - workflow , computer science , position (finance) , cloud computing , event (particle physics) , real time locating system , safeguarding , algorithm , cultural heritage , limit (mathematics) , point cloud , genetic algorithm , structural health monitoring , real time computing , data mining , data science , artificial intelligence , engineering , machine learning , database , geography , mathematics , medicine , mathematical analysis , physics , nursing , archaeology , finance , structural engineering , quantum mechanics , economics , operating system
The safeguarding of the historical and cultural heritage is one of the main research topics that has been addressed in recent years. Particular attention was given to the development of structural health monitoring systems that allowed the real time acquisition of different physical quantities that are stored in a cloud and compared with the health limit values of the structures obtained from numerical analysis previously carried out. One of the major problems highlighted by the use of these systems is related to the position and quantity of smart sensors to be used within the structure to be monitored. To avoid this, in this paper an Optimal Sensors Placement method was applied to a case study located in China. In particular, the positioning of the sensors was identified through an optimization workflow that adopt a Multi Objective Optimization engine called “Octopus” in Grasshopper3D. The identified optimal solutions have made it possible to detect the areas of the structure that will be subject to collapse during a seismic event.