Advanced CBus applications

I wonder if in the CBus community others have developed any advanced applications for the CBus platform. For example is anyone using a Neural network systems archtecture view to create complex behaviour such as self optimisation in client applications?

I also wonder if CBus is generally accepted for building control applications tradiationally left to a dedicated BMS, for example enthalpy based control systems?

And dare I say it - is anyone else exploring possibilities for AI ( Aritificial Intelligence ) based control behavior?

Steve Laidler
Energy Efficiency & Automation
ECOsystems NZ

 

[trigger: AI, neural]
[initiate: PP\Jed\Hand.wv]

Hello, my name is Skynet. These are not the droids you are looking for.

 

Neural Net or Fuzzy Logic

Gd day,

Could not help but contributing:

Perhaps if you are adventurous enough, you can use C-Lution or Citect SCADA to code out your fuzzy logic on energy management systems with C-Bus. It's a great combo with additional logic on fail-over to emergency supply and lighting, load monitoring and reporting etc.

Cheers

 

Further Comments

By Artificial Intelligence, I mean : If an untrained observer were to observe our system, would it appear to exhibit complex behaviour normally associated with intelligence - does it appear to learn, does it appear to self optimise, how fault resiliant is it - does control all go to poo if one input is incorrect.

The neural network thing is something I have used more as a software archtiectual model to inspire design and system understanding. I found the standard C-Bus apps and the front end packages were good for building to a neural model as opposed to a conventional automation and control loop based model.

The model's performance is improved when another system is introduced, not sure why, but in our case it was I think to do with segregating digital logic from analogue logic.

Just wondering if anyone else was noticing such things, and more importantly if anyone else is getting results from such approaches.

Steve Laidler
ECOsystems NZ