How To Handshake: The OT Networking Series
Sep 1, 2026 · 41 min · 11 segments
Simon Britton, author of the new book BMS Fundamentals, joins Ping and Ryan to talk about the value in BMS as a pathway to employment, what's changed in 35 years, and faces off with Ping in the first…
Ryan LaflammeHost
Simon BrittonGuest
Ping YaoHost
So the BMS would control, say, all the parts of an air handling unit, whereas these days they tend to come out from manufacturer with controls pre-fitted.

And we tend to see now more sort of traditional air conditioning type systems being fitted in buildings with the bms just interfacing to it and things like humidity control unless it's in a critical environment like pharmaceutical or maybe even data center when as you guys probably know like low low humidity can be a problem because of static electricity

I mean, lift systems are often monitored for fault conditions, but that's about as far as it goes.


It still, I think, remains the brain, the coordinator of the services and the environment and energy consumption, therefore.

And you speak a lot about sensors and inputs, and this leads to sort of something that we carry through a thread in our work.

Our mission as well is that every decision, you know, that a system makes is only ever going to be as good as the data or the measurements that it can perform.

So for someone new to this, what actually makes a sensor reading or any sort of response that you're feeding in trustworthy or not? Is this a placement calibration? And, you know, accuracy over time? And for people new, what is sort of the ramifications that can happen when, you know, say a single bad input

In a couple of examples, one temperature orientated could be a room temperature sensor that has been fitted, ended up being buried behind some filing cabinets.

So the BMS would control, say, all the parts of an air handling unit, whereas these days they tend to come out from manufacturer with controls pre-fitted.

And we tend to see now more sort of traditional air conditioning type systems being fitted in buildings with the bms just interfacing to it and things like humidity control unless it's in a critical environment like pharmaceutical or maybe even data center when as you guys probably know like low low humidity can be a problem because of static electricity

I mean, lift systems are often monitored for fault conditions, but that's about as far as it goes.


It still, I think, remains the brain, the coordinator of the services and the environment and energy consumption, therefore.

And you speak a lot about sensors and inputs, and this leads to sort of something that we carry through a thread in our work.

Our mission as well is that every decision, you know, that a system makes is only ever going to be as good as the data or the measurements that it can perform.

So for someone new to this, what actually makes a sensor reading or any sort of response that you're feeding in trustworthy or not? Is this a placement calibration? And, you know, accuracy over time? And for people new, what is sort of the ramifications that can happen when, you know, say a single bad input

In a couple of examples, one temperature orientated could be a room temperature sensor that has been fitted, ended up being buried behind some filing cabinets.
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