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Integrated BIM tools, including Revit, AutoCAD, and Civil 3D
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Professional CAD/CAM tools built on Inventor and AutoCAD
Integrated BIM tools, including Revit, AutoCAD, and Civil 3D
Professional CAD/CAM tools built on Inventor and AutoCAD
Transcript
00:03
The quality of observational data directly affects
00:06
the accuracy of a network model,
00:09
inaccurate missing or misunderstood data drastically
00:13
changes a model's configuration and calibration
00:16
SCADA
00:17
or supervisory control.
00:19
And data acquisition refers to the system of computers
00:22
and instruments that controls or monitors a process.
00:27
Keta can refer to a system that monitors an entire treatment
00:30
works or it can refer to a simple pump control.
00:34
The primary benefit of SK systems is the ability to
00:37
control or monitor a plan remotely instead of on site.
00:41
Telemetry refers to any data collected by a SCADA
00:44
system
00:46
once collected.
00:47
This data is often communicated from the site to a centralized data storage server
00:53
because SK systems can also control equipment.
00:56
It is essential that the rules provided to the system
00:59
are matched in the model as closely as possible.
01:02
Logic is implemented via programmable logic
01:05
controllers or plc's which determine what actions
01:08
the system should take based on inputs and rules provided to it.
01:13
Another important tool to consider when working
01:15
with network modeling is the data logger.
01:19
Data loggers are portable low cost battery powered devices that are often
01:23
used within the water distribution network to record flow and pressure.
01:29
Data loggers are typically less reliable than SCADA
01:32
for data delivery.
01:34
In the past,
01:35
many data loggers stored data in such a way
01:37
that manual downloading was required with limited storage.
01:41
Now,
01:41
almost all data loggers are cloud based or they send data via cellular networks.
01:48
Data loggers are mostly permanently installed
01:50
devices such as district flow meters,
01:53
but some are lift in shift devices that can be
01:55
moved around for a specific goal such as network calibration
02:00
understanding data is critical to using it in the correct way.
02:05
In the water industry.
02:06
Data is typically used as a time series which means a property
02:10
is tracked over time at a given interval called a sample rate.
02:15
This sample rate is often 15 minutes.
02:18
Although some sources record an instantaneous
02:21
sample while others will be averaged,
02:24
accurate pressure measurements are also critical to network modeling,
02:27
especially when calibrating networks or isolating head loss.
02:32
An accurate pressure measurement depends upon the
02:34
accuracy of the sensor which is specified
02:37
by the manufacturer as a percentage error of a sensor's full scale accuracy.
02:42
Another consideration is whether the sensor records absolute or gauge pressure.
02:48
When measuring an enclosed pressurized system,
02:51
emphasis is placed on the pressure of the fluid relative to the sampling point.
02:56
Because of this,
02:56
most pressure sensors used are gauge pressure
02:59
which records zero at or near atmospheric pressure
03:03
because atmospheric pressure varies by location and altitude devices that
03:08
are zeroed in different places may produce inconsistent results.
03:13
Finally, there are two types of signals from flow meters
03:16
pulses and 4 to 20 milli
03:19
ap
03:19
signals.
03:20
A 4 to 20 milli
03:22
ap signal is generated by an electromagnetic flow meter
03:25
typically at a treatment works or water distribution site
03:29
pulses are typically obtained from bulk flow meters and customer meters.
03:33
A pulse reports that a specific volume of
03:36
water has passed through the meter since the
03:38
last pulse which can limit their use when recording lower flows where 4 to 20 milli
03:43
signals update at fixed intervals providing an accurate instantaneous flow rate.
Video transcript
00:03
The quality of observational data directly affects
00:06
the accuracy of a network model,
00:09
inaccurate missing or misunderstood data drastically
00:13
changes a model's configuration and calibration
00:16
SCADA
00:17
or supervisory control.
00:19
And data acquisition refers to the system of computers
00:22
and instruments that controls or monitors a process.
00:27
Keta can refer to a system that monitors an entire treatment
00:30
works or it can refer to a simple pump control.
00:34
The primary benefit of SK systems is the ability to
00:37
control or monitor a plan remotely instead of on site.
00:41
Telemetry refers to any data collected by a SCADA
00:44
system
00:46
once collected.
00:47
This data is often communicated from the site to a centralized data storage server
00:53
because SK systems can also control equipment.
00:56
It is essential that the rules provided to the system
00:59
are matched in the model as closely as possible.
01:02
Logic is implemented via programmable logic
01:05
controllers or plc's which determine what actions
01:08
the system should take based on inputs and rules provided to it.
01:13
Another important tool to consider when working
01:15
with network modeling is the data logger.
01:19
Data loggers are portable low cost battery powered devices that are often
01:23
used within the water distribution network to record flow and pressure.
01:29
Data loggers are typically less reliable than SCADA
01:32
for data delivery.
01:34
In the past,
01:35
many data loggers stored data in such a way
01:37
that manual downloading was required with limited storage.
01:41
Now,
01:41
almost all data loggers are cloud based or they send data via cellular networks.
01:48
Data loggers are mostly permanently installed
01:50
devices such as district flow meters,
01:53
but some are lift in shift devices that can be
01:55
moved around for a specific goal such as network calibration
02:00
understanding data is critical to using it in the correct way.
02:05
In the water industry.
02:06
Data is typically used as a time series which means a property
02:10
is tracked over time at a given interval called a sample rate.
02:15
This sample rate is often 15 minutes.
02:18
Although some sources record an instantaneous
02:21
sample while others will be averaged,
02:24
accurate pressure measurements are also critical to network modeling,
02:27
especially when calibrating networks or isolating head loss.
02:32
An accurate pressure measurement depends upon the
02:34
accuracy of the sensor which is specified
02:37
by the manufacturer as a percentage error of a sensor's full scale accuracy.
02:42
Another consideration is whether the sensor records absolute or gauge pressure.
02:48
When measuring an enclosed pressurized system,
02:51
emphasis is placed on the pressure of the fluid relative to the sampling point.
02:56
Because of this,
02:56
most pressure sensors used are gauge pressure
02:59
which records zero at or near atmospheric pressure
03:03
because atmospheric pressure varies by location and altitude devices that
03:08
are zeroed in different places may produce inconsistent results.
03:13
Finally, there are two types of signals from flow meters
03:16
pulses and 4 to 20 milli
03:19
ap
03:19
signals.
03:20
A 4 to 20 milli
03:22
ap signal is generated by an electromagnetic flow meter
03:25
typically at a treatment works or water distribution site
03:29
pulses are typically obtained from bulk flow meters and customer meters.
03:33
A pulse reports that a specific volume of
03:36
water has passed through the meter since the
03:38
last pulse which can limit their use when recording lower flows where 4 to 20 milli
03:43
signals update at fixed intervals providing an accurate instantaneous flow rate.
The quality of observational data directly affects the accuracy of a network model. Inaccurate, missing, or misunderstood data drastically changes the configuration and calibration of a model.
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