{"id":1028,"date":"2020-06-04T09:39:10","date_gmt":"2020-06-04T09:39:10","guid":{"rendered":"https:\/\/holo-metrix.com\/?page_id=1028"},"modified":"2025-04-14T06:31:18","modified_gmt":"2025-04-14T06:31:18","slug":"schallfeldkartierung","status":"publish","type":"page","link":"https:\/\/holo-metrix.com\/en\/schallfeldkartierung\/","title":{"rendered":"Schallfeldkartierung – Deutsch"},"content":{"rendered":"
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Sound field mapping<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Overview and introduction<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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In sound field mapping, the measured sound levels are visualized as a colour gradient over a photo of the measurement object, making it easy to see where the measurement object emits the most sound. In practice, three methods have proven effective for creating sound field maps. Sound field mapping using sound intensity measurements is carried out when there is a stationary acoustic problem. The sound intensities are measured one after the other at a large number of spatially precisely defined positions. In practice, positioning the SI probe is often very time-consuming. For this reason, we have developed software that automatically calculates these positions and displays them spatially using augmented reality glasses. Another method is acoustic near-field holography. This is mainly used when many sound sources are close together. However, it may also be the case that the sound has to be determined at a great distance from the sound source. Far-field methods using beamforming, which make use of acoustic cameras, are used for this purpose.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Sound localization<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Sound field mapping is a very efficient measurement method for quickly detecting acoustic problem areas. A sound field map usually displays the measured sound levels as a color gradient over a photo of the measured structure. This superimposed representation allows the acoustic weak points to be quickly identified. In the broadest sense, this representation is comparable to the contour lines on maps.<\/p>

To create such maps, acoustic measurements must be carried out at a large number of precisely defined spatial positions. Interpolation between the measurement points is then carried out using various mathematical methods. The following figure shows an example of a sound field map above a PC workstation with 2 loudspeakers (only above the right-hand side for better clarity). This map quickly shows that most of the noise comes from the loudspeaker.<\/p>

There are two main problems with conventional sound field mapping. Firstly, measuring the spatially precisely defined measurement positions is very time-consuming and secondly, only a two-dimensional representation of the sound field map over a photo of the measurement object is possible. For this reason, we have developed software that automatically calculates the measurement positions and displays them using augmented reality glasses. Once the measurement results have been entered, the sound field map is also automatically calculated and virtually superimposed over the measurement object. Thanks to the three-dimensional representation, the operator can now walk around the measurement object and see exactly where problem areas occur. The following graphic shows the differences between a conventional two-dimensional representation and a three-dimensional representation using augmented reality.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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