Automatic Control Points Computation for the Acoustic Noise Level Audits

Tomáš Drábek, Vladimír Petrík Jan Holub

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 estimates the floor plan and uses it to calculate the control points location in which the measurement is performed. We propose to automate the computation by formulating an optimization problem for which we designed an algorithm. 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 optimization problem, we designed the fitness function based on the measurement purpose, and we analysed two typical use-cases: (i) long-term stationary noise measurement and (ii) recurring short-term noise measurement. Although the set of control points for both use cases obeys the given standard, it is beneficial to distinguish the location of control points based on the measurement purpose. We maximize the number of control points for the stationary noise and maximize the immediate coverage area for the short-term noise. We tested the proposed algorithms in simulation for several floor plans of different complexity.

Keywords

Noise, Measurement, Algorithms, Automation, Determination of Control Points

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IMEKO-TC10-2020-055.pdf

DOI

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IMEKO TC

TC10 - Measurement for Diagnostics, Optimization and Control

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