I'd like to talk to you a
little bit about how you can use PI CoreSight and the
trending that is available to you. You've seen some of the
ad-hoc trends that we can do on the values and
the tables and things of that nature. But those ad-hoc trends
are locked to the time-range of the display. So what I'm going to show you
now is how you can build your own trends with
whatever data you want and really manipulate
the time and the scale so that you can see exactly
what it is that you'd like to see. Now we are going to
stick with our boilers that we've been looking at
all day. And I'm going to take boiler 210 and drag it onto my screen
and visualize him as a trend.
Remember PI CoreSight is going to try
and automatically fit the data in your
screen. So you don't have to worry about sizing or coloring
for any object in PI CoreSight. It's going to automatically
determine that for you based on what else you are
showing. So because we didn't have anything
else on our screen, this trend takes up the whole canvas.
Now just like you could do with a table,
you can actually add or remove values
to this trend as you see fit. So if you'll
remember on the table, some of these values never change like
the manufacturer. So just like with the table, all you have to do if you want to
remove something is you click on the name in the legend
here and then you click on the little X. And then that item will be removed
from your trend.
Things that are static, that aren't really changing,
I don't really need to trend them. So
in the equipment state, I'm not going to trend that either in this case.
And the model number...
So now we have just the
live updating data for this particular boiler.
So you can see the legend up at the top. Each item is color coated.
Each item has a color blind marker. So this is a filled in
circle, an open circle. This is a filled in diamond,
an open diamond. And so those markers
are going to be on the trends here.
Now what I'm looking at currently is
an 8 hour trend. Remember this is going to
take the display time. So my trend is an 8 hour trend.
One thing that you'll notice is
the now button and the time-line, are a very intense
blue color. And that is one way that we indicate
to you, that we are looking at the current value. Which
means when the values update in the PI System,
they are going to update on your CoreSight screen.
Remember PI does store that historical
data forever. So you really can, once the data is in your PI System,
you can go back and look at historical data very easily.
There is a number of ways to do it. One thing I
can do as I can actually scroll back in
time, with the scroll time window.
So I'm going back.
When I'm not looking at current time, you'll notice that the
now button and the time window is a paler
blue or a less intense blue.
So that's another way to indicate that we are looking at historical data.
So I'm looking at 8 hour chunks.
I can change that into other
time ranges a number of ways. I can
click these time window buttons. So if I want to see a 1 hour
chunk instead of an 8 hour chunk, for example,
that's how you can do that. You can go back to 8 hours.
This is 1 day. A week.
A month. If I go back that deep, it's just going to be a blur
so I'm not going to go that far out.
So you have some pre-configured time window buttons here.
With the scroll bar, we have
handles. You can actually drag those handles in or
out to hone in on the data that you want to see.
You can click the
now button. I'm clicking the now button to go back to current time.
You can actually type in manually
the time-range that you want to see here.
So you can do custom time range.
It could be an absolute time, like the beginning of the month. Or it
could be a relative time, like I'm going to do, * - 4h.
Press enter. And now I'm looking at a 4 hour time window.
And just like in all of our
other clients, you can actually zoom in
by just selecting an area that you want to see.
And now I'm looking at 42.13 minutes.
So that's kind of neat with
the time range. Now one thing I can
do if I found something particularly interesting, is
I can lock the time-range on this trend. What will happen is,
no matter what I do from that point forward,
however I change the time-range on my display,
the trend will be locked to the time-range that I selected.
And the way you do that is there is a little pad lock button
on the tool-bar of the trend. You just click that
pad lock button. So now, no matter
what I do, if I change this
back to an 8 hour and I go back to the
current time, you'll notice that the time-range on my trend didn't change at all.
So looking at 1224 to
108. If I want to undo the time-lock,
I can click the
pad-lock button and it goes back to normal.
Let's go back and we'll zoom back in and we'll experiment
with that pad lock a little bit.
We'll go in
even just a little bit more.
Alright, we are going to lock this guy.
Now, let's say I want to compare boiler 210
to boiler 235. And I know that they run a
similar process, but one has been performing better than the other.
And so I really want to
see how they compare. So I'm going to take boiler 235
and drag them onto my screen.
Again, visualize them as a trend.
And just like before, I'm
going to get rid of the static data that doesn't change
very much.
So now, these are both looking
at the same time. You can see the
time-stamp on the trend. Even though that one is
locked, these are the same time. And I can pull my cursor
across the screen. And as I do that, you'll see the
time-stamp for where I am on the trend, as well as you'll
notice that on the legend,
the values are going to update as I move my cursor across the screen.
So this is one way that you can do some analysis
on your data. But you'll
remember that I clicked the pad lock and said,
once you've done that, this trend is not going to change.
So what happens if I go back to normal time?
Let's go back to 8 hours.
Now current time. So you'll
see that the trend on the bottom was not
locked and he did reflect the changes on time that I made.
The trend on the top, stayed the
way it was. Take a look at the cursors.
This is what I find to be really interesting and an
interesting way to look at your data.
The cursors are in line with the time-stamps.
So as I scroll through 1108, 1107,
1106 and so forth. But they are moving at different
rates because I'm zoomed in on different
ways on this data. So this is a really nice way
for you to be able to do some comparative analysis
between two like pieces of
equipment and then see how things are behaving.
Or perhaps these can be on the same data, these two trends,
and one is an overview trend and one is a zoomed in trend.
Those are just different ways for you to visualize what is
happening in your process and give you the tools that you need to make the
decisions that you need to make. So that's a
little bit about the time-ranges
in trending. What are some other
things that we can change? I'm going to go ahead and
unlock my trend here. And when I do that, you'll notice it
took my 8 hour time window. So now these
are in-sync again. So I've shown you how
you can manipulate the time. But you can
also manipulate the scale. So right now,
we have multi-scale or show a separate scale
for each trace. But if I wanted to show a single scale for a
whole trend, I can do that by clicking this button here.
And when I do that, now there is just one scale or
one range, and everything fits in. You can't really see the detail
with most of these though. So it's not the way that I wanted to see this information.
So I'm going to go back to multi-scale.
So that's one thing you can change.
You can also change the upper and lower limits of the scale.
And there are two options. Option A
is the default which means it's going to
size the scale so that all of the data fits.
So it's going to be based off the max and minimum for the range
that you have selected. So it's equivalent
to AutoRange in ProcessBook.
However if you want a more static scale, you can
actually pull in the ranges that are defined
in the PI System for these values.
And that's what this little button here does.
So these are the defined max and mins
for these values here. And you can see how that changes a little
bit how data is rendered. So that's up
to you how you want to visualize that. But those are
some of the ways that you can change the scale. And then of
course you can change the time on this trend. You can
use the pad lock to really lock down what it is
that you want to be looking at.