Devices, Licenses and training for industrial use case below

[hb45]

I have an industrial use case for active noise cancellation in a factory environment.

There is a need to detect the sound of a buzzer in a noisy environment. The frequency and amplitude of this is not consistent.

I have done a couple of hours of research and have found that ANC is possible in labview with the Adaptive Filter Tool Kit.

My questions are:

• What Labview training course would be best to take to be able to implement this
• what hardware/DAQ would be used for this 

We currently use and NI DAQ in one of our production areas and my manager is interested in getting training organised to be more proficient with it. I am engineer from an automation/PLC/robotics background and used Labview at university but that was a while ago and haven't since.

Happy to answer any clarifying questions.

[Bob_Schor]

You ask two quite-different questions.  One has to do with "active noise cancellation in a factory environment" and the second is "Implementing the solution using LabVIEW and hardware".

If you've had some previous experience with LabVIEW, and (especially) if you have a colleague or someone who could be a mentor and guide you into using Good LabVIEW Practices to make your code readable and maintainable, this second aspect should be doable, but guidance is suggested!

However, "noise in a factory environment", when the "signal" you want to detect is also a "form of noise" (a buzzer with inconsistent sound parameters) may be more difficult.  Headphones that use ANC generally have a microphone that "listens to the noise" and "compares it to the signal" (let's say it is a musical piece, where the "Signal-to-noise" is generally much larger, so it's largely figuring out how to adjust the "pure noise" signal such that you can simply subtract the two (Signal+Noise - Adjusted External Noise) = Signal.

I'm sure there's a literature on this ...

Bob Schor

[billko]

One way ANC is used in voice communication is they have two microphones, one facing the person talking and one facing "away" from the talker.  Anything coming in mic #2 is considered noise and is subtracted from the sound coming through mic #1.  At least that's how I understand it.

This sounds like this concept could have potential here.