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Shurafa

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Reply with quote  #1 
IoT the buzz word...

The subject of Internet of Things has been promoted for many years by vendors, media, speakers in conferences etc. "Start now or you'll be behind " is a message directly or indirectly pushed to the people working in the plant operations and maintenance... primarily to those do condition evaluation and diagnosis.

My confusion is that after attending presentations or demonstrations about the proposed "solutions" from vendors or others, I know no facility has implemented this yet.

M2M (machine to machine) communication and autonomous decision making, open source fleet equipment history and analytics, cloud data storage and processing ... etc.

Do you see these of some them actually implemented in an industrial scale and being considered as a success ?

Viewing your equipment condition and receiving an alert (sms, email, phone ring etc) is not IoT in my opinion and this has been available for more than 15 year in several facilities (using VPN, Citrix etc).

Please let me know your thoughts.

Regards- Ali M. Al-Shurafa
OLi

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Reply with quote  #2 
It is sincerely a real busy buzz word and the substance may take a while to really be produced.....
Problem in my world would be the cost, so far it is more cost effective than traditional installation but that
was not an option anyway and 300 channels do need a substantial budget how ever you do it. I have seen a 
input from a sandy place where first test was a system where it was a running contract and data was in the "cloud" in Europe.
It was working but swapped to a 100% in house purchased system due to comparison btw. running cost and investment... Olov

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RustyCas

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Reply with quote  #3 
"Smart" machinery will happen eventually, but only when there are no cheaper alternatives available, IMO. Smaller and older plants are especially sensitive to first cost on capex expenditures. They will often buy cheaper but clearly inferior machinery because it makes the project possible, because they wouldn't get a 50% larger budget approved. For newer, state-of-the-art facilities it will happen sooner, but who is building those these days? And who is actually offering "smart machinery" for sale?

It is already happening in the consumer side because consumers are "predictably irrational" and just buy whatever they want, whatever is "cool." But I cringe every time I get in my truck and my phone automatically connects via Bluetooth, because Siri doesn't work well at all when connected.

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OLi

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Reply with quote  #4 
You can not live on Buzz alone, or can you? If you can do magics by data from sensors already existing like you sometimes do in cars, it is popular, if you need to add "expensive" sensors it is not so popular yet.
Would you or do you buy bearings with sensors in them? Do you buy a motor with a builtin VFD? They exist or have existed but ventilation fans and compressors where direct motor/VFD systems replace pulley and other systems are getting more common with the traditional implications and teething problems but eventually reducing maintenance a magnitude so steps are taken but it is not a revolution that I see so far. Maybe looking in the mirror one day, who knows. Olov

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Shurafa

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Reply with quote  #5 
What "smart" things the IoT will bring that we cannot do now?

In other words, can we now have the "smart" things within the boundaries of a company using the classic online systems? I mean with/without wireless, local/cloud processing, manual/auto operated start/stop etc

If smart things cannot be done locally or using wires or ... why they can be done otherwise? More data may/may not help just like the monthly vibration data if it is unprocessed /under processed /over processed.

(Special note of OLi: I'm trying to learn. Yes I might be completely wrong. :-) )

Regards- Ali M. Al-Shurafa
OLi

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Reply with quote  #6 
Oh I think this time you are correct, we don't know. Olov
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Vibe-Rater

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Reply with quote  #7 
I think too much data is no good really. You then have to spend enormous time making sense of it. There is an appropriate / adequate level which is often found through experience. You know if you hold up your face against a tree all you see is bark. Not realising you are in a forest.  This is why I don't like the CSI push with triaxial accelerometers on everything.  Too much of a good thing and leaves data overload. Big data....  mmmmm. There has to be a way to automatically cut it down or figure out a way to get real knowledge from it.  More and more programming.  Maybe I am just too old.rgds.
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