Extraction of a floor plan from a points cloud: some metrological considerations

Authors

DOI:

https://doi.org/10.21014/actaimeko.v12i2.1427

Keywords:

complex buildings, evacuation plan, laser scanner, data synthesis, causes of variability, measurement uncertainty

Abstract

The design of evacuation plans for safety purposes is based on the graphical synthesis and visualization of data derived from high-performance measurement systems. The data post-processing requires some suitable procedures including many steps, to obtain the information needed. These are related to the global use of the measurement system, to the real measurement operating conditions, to the complexity of the building, to the simplifying hypotheses, to the data management. As a preliminary step, this work outlines a procedure for extracting a floor plan from a points cloud acquired by means of a laser scanner. The test case is a baroque cathedral, being a large structure and presenting some elements of irregular geometry. Some critical passages have been examined, presenting similar widths but different characteristics i.e., flat and regular geometries of the elements on the walls, in some cases, statues, columns and adornments, in some others. The data management plays a key-role in the correct interpretation of the outcomes, having a great impact on the results reliability. The obtained estimated variability of the passage width is in the order of few tenth centimeters. This is strictly related to the specific operating procedure. How this affects simulation software for route optimization of emergency paths will be the object of further investigations.

Author Biography

Antonella Gaspari, University of L'Aquila

Antonella Gaspari graduated in Management Engineering at University of L’Aquila in 2012. At the same University, in 2016, she obtained her Ph.D. in Mechanical, Energetic and Industrial Engineering, with specialism in diagnostics, control and environmental and industrial measurements. Her Ph.D. thesis dealt with the use of measurement-uncertainty as a tool for setting and directing reliable and aware improvement actions in the field of industrial management and measurement systems, in technologically advanced industrial and laboratory contexts. She is co-author of several papers published on international and Italian journals and conferences. In these papers the main results of her research activity are described, mainly concerning the following topics:

  • Energy and product/process quality measurements and management systems in industrial scenarios
  • Vibration and acoustic emission measurements for condition monitoring of tool machines;
  • Data processing techniques of experimental data;
  • Development of tools supporting decision-making activities, based on experimental data.

She is currently working at the same University as a Post-Doc, focusing on the evaluation of measurement-uncertainty and the validation of large amounts of data (“Big Data”) provided by heterogeneous sensors and devices, the development of suitable processing techniques for data mining, the set-up of suitable procedures and architectures for measurements and data flows management and, finally, the definition of measurement and calibration techniques for quantities connected to the human perception.

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Published

2023-06-23

Issue

Vol. 12 No. 2 (2023)

Section

Research Papers

License

Copyright (c) 2023 Giulio D'Emilia, Luciano Chiominto, Antonella Gaspari, Stefano Marsella, Marcello Marzoli, Emanuela Natale

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