Acoustic Photo

Noise Reduction

Instantly documenting and easily providing clear evidence of noise reduction

Demonstrates the use and success of the Acoustic Camera in the field of noise reduction.

Noise

Noise is an often underestimated pollutant. The risk for cardiac infarction increases significantly at continuous sound levels above 65 decibels. There are studies that allocate at least 2 percent of all cardiac infarct victims to traffic noise. At night, when cars and trams only penetrate the sub consciousness, traffic noise can disturb one's health by affecting the sleep quality.

Therefore, the requirements defined by the legislator for the operation of technical devices are becoming more and more restrictive. This is true not only for wide-body jet planes and industrial installations, but also for simple drilling machines. Next to that, lower noise level is a good sales argument.

However, machines and equipment must become more and more powerful, faster and lighter, which in many cases leads to increased noise emissions. Even sound emissions from eco-friendly wind turbines cannot always be disregarded. To meet these conflicting requisitions, enormous investments are required in the planning and development stages.

Localization

Easily providing clear evidence and instantly documenting noise reduction

The Acoustic Camera can save a lot of time and consequently a lot of money. Noise sources can be localized rapidly and very precisely from the position of the listeners - even at distances of several hundreds of meters. This method has numerous advantages. Instead of placing microphones in a machine or plant and tediously looking for noise sources, the object as a whole can be included in only a few measurements from the relevant perspectives.

When traditional technology is used to measure a wind turbine, for example, data from numerous measurement points must be acquired using microphones or vibration transducers. This is certainly not an easy task, taking into account the size of the object and the rotation of the blades. Even when this has been done, it remains questionable whether the sources that are found to be particularly loud are responsible for the noise exposure in the neighbouring community.

If the true origins of noise are not known (exactly), the Acoustic Camera can prove with a single measurement in only a matter of minutes that the downward-turning blade is the one that contributes most to the noise radiation. Last but not least, documenting the success of measures against noise is far easier with the new technology. Two acoustic images, acquired before and after, can clearly show the effectiveness of a modification.