Noise-reduction Easy provision of clear evidence, instant documentation, of noice reduction
Noise - an often underestimated pollutant. The risk for cardiac infarction is significantly elevated 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, consciousness, traffic noise can disturb human'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. In addition, lower noise level is a good sales argument.
On the other hand, machines and equipment must become more and more powerful, faster and lighter, which in many cases leads to increased noise emissions. And even eco-friendly wind turbines do not always fall on deaf ears. To meet these conflicting requisitions, enormous investments are required in the planning and development stages.
Accurately identifying and documenting sources of noise - in best time
Acoustic cameras can save much time and consequently much 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, which is certainly not an easy task, taking into account the size of the object and the rotation of the blades. And even when this has been done, it remains questionable whether the sources that are found to be especially loud are responsible for the noise exposure in the neighbouring community.
When the true origins of noise exposure are not known exactly, it becomes harder or even impossible to correctly assign the responsibilities. In this case, the acoustic camera could prove with a single measurement and in a matter of minutes that the blade going down is the one that contributes most to the noise radiation. Last not least, documenting the success of measures against is far easier with the new technology. Two acoustic images, acquired before and after, can clearly show.