Abstract
<p class="Abstract">The acoustic noise level in the interior is one of the quantities specified by a standard and is subject to audits to ensure a comfortable living environment. Currently, the noise level audits are performed manually by a skilled operator, who evaluates the floor plan and uses it to calculate the control points location in which the measurement is performed. The computation is proposed to automate the audit by formulating an optimisation problem for which an algorithm was designed. The algorithm computes the solution that satisfies all constraints specified in the standard, for example, the minimum distance among the control points and fixed obstacles (walls or columns). In the proposed optimisation problem, the fitness function was designed based on the measurement purpose, and two typical use-cases were analysed: (i) long-term stationary noise measurement and (ii) recurring short-term noise measurement. Although the set of control points for both use cases complies with the given standard, it is beneficial to distinguish the location of control points based on the measurement purpose. The number of control points is maximised for the stationary noise and for the immediate coverage area for the short-term noise. The proposed algorithms were tested in a simulation for several floor plans of different complexity.</p>
Highlights
The acoustic noise level is measured in human-occupied buildings to ensure comfortable living conditions
This paper aims to design automatic algorithms for placing the control points into a given room by obeying all constraints set by the standard
The present paper aims to show the possibility of automating determining control points for measuring indoor noise
Summary
The acoustic noise level is measured in human-occupied buildings to ensure comfortable living conditions. As described in [1], temperature, humidity, and CO2 concentration are the usually monitored indoor quantities. Measurement of the acoustic noise level, together with the mentioned quantities, can be used to improve the quality of indoor living. The noise measurement process is described in national standards that specify, for example, restrictions for placing control points, the duration of the individual measurements, or measurement device specifications. National supervisory authorities or private companies use these standards to determine noise levels both indoors and outdoors. This paper aims to design automatic algorithms for placing the control points into a given room by obeying all constraints set by the standard. The measurement of the noise level is performed in these control points
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