Noise Prediction for Industry and Wind Turbines

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Frequently Asked Questions (FAQ)

What are the minimum system requirements for using iNoise?

The minimum system requirements for using iNoise are:

  • dual core processor, such as Intel Core i3, or AMD Phenom X2
  • 2 Gb RAM
  • With a Pro or Enterprise license (> 2 cores), a quad-core processor and more RAM memory are recommended
  • Operating system: Microsoft Windows 7/8/10 (x64)
  • 500 Mb free disk space to install the software
  • Additional 100 Mb free disk space for each iNoise project. Larger iNoise projects can take more than 1 Gb of disk space
  • OpenGL support for 3D view
  • Printer: MS Windows printer
  • Internet access to download the software and to check for updates.
Why does the software still shows <unregistered user> after I installed a valid license?

Copy your license files DGMR.LIC and DGMR.LICX to the iNoise program folder (usually C:\Program Files\DGMR\iNoise 2017\). In case the software still shows <unregistered user>, this is probably caused by the secured Windows environment. Windows won’t allow files to be copied directly from an email message to a secure folder, such as the “Program files” folder. To copy the license files from an email message, you should copy them first to a temporary location, for instance your desktop, and from there you can copy them to the iNoise program folder.

How does Georeference work?

As of November 2020, Georeference won’t work anymore because of a changed Application Programming Interface of Google Earth. iNoise 2021 contains an alternate way to import and calibrate background images from Google Earth.

A background image (BMP or JPG) can easily be calibrated. By clicking [Calibrate] a separate view with only the background image will be opened. Then you’ll have 3 options:

  • Scale only – enter two points at a known distance from each other.
    You can click on 2 positions on the bitmap and then enter the distance in meters. The distance could for instance be measured with a tool like Google Earth. Then click [OK]
  • Scale & position – enter two points with known local coordinates
    You can click on 2 known positions on the bitmap and then enter the X and Y coordinates of the 2 points. Then click [OK]
  • Scale & position – enter two points with known GPS coordinates
    You can click on 2 known positions on the bitmap and then enter the latitude and longitude coordinates of the 2 points and select the local coordinate and reference system. The latitude and longitude coordinates can be found using Google Earth. Then click [OK]

The scaling information can be saved as a TXT file by clicking [Save settings]. That allows the bitmap file together with the TXT file to be used as correctly scaled bitmaps in other iNoise models.

Note: For using Google Earth images you can enter 2 place marks with known GPS coordinates and then use the ‘Edit | Copy Image’ menu option to copy the image to the clipboard. Then you can paste the image in Paint (or any other graphic tool) and save it as a jpg file. During the calibration of the jpg file you can then use the 2 place marks as the 2 known positions. However be sure that you do not use a tilted view in Google Earth. This means that just before you make a print screen you need to press the key ‘r’ on your keyboard. That is a short cut and will rotate the view to North and return to top view. You can also switch off the automatic tilt option in Google Earth with the menu option ‘Tools | Options | Navigation’.

Can I use Cloud storage (e.g. Drop box or One drive) for storing iNoise projects?

Opening and editing an iNoise project should always be done on a local drive or network drive. The use of cloud storage can lead to a corrupt project and is strongly discouraged. When exchanging a project through cloud storage the project must be zipped first by using the ‘File | Zip project’ menu option.

Where do I find the declaration of conformity to ISO 17534?

The declaration of conformity is located in the folder “C:\Program Files\DGMR\iNoise 2019\Doc\”. Download the declaration for V2019 here.