Architect analysis
Architect supplies visual information during process simulation when one or more tabs become available in the Architect in simulated or playback mode. The information generated provides, for example, insight into the causes of process deviations and how to correct such deviations.
In Figure 1, one of the typical screens of Proficy CSense shows historical indicators. This enables the engineer to do one of the following:
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identification of process deviations in the selected "Key Performance Indicator".
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Application of a "Cause Indicator", Cause+, to identify causes for process deviations.
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Interpretation of a "Leverage Indicator", to assist in deciding on the most appropriate variables to adjust to counter the process deviation.
Analysis of a set of "Interrelationship Graphs" to understand the relationship between any selected variable and the "Key Performance Indicator" (Figure 2).
Figure 1: One of the displays for analysis of process deviationS
Figure 2: Interrelationship Graph, which gives the relationship between a related process variable and the Key Performance Indicator
On this page you can find out more about:
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Trendviewer
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Cause Indicators
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Leverage Indicators
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Interrelationship graphs
Trendviewer
The TrendViewer provides a graphical display of predetermined field values during online viewing and simulation (if probes are configured or alarming and/or analysis is enabled). All fields are graphed dynamically, providing you feedback on the actual data passing through the blueprint. A diagram of the Trendviewer window is shown below.
TrendViewer display
If probes are configured
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Probes may be configured on the output ports of other blocks in the blueprint, to plot one or more of the fields leaving those blocks (see adding probes)
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When probes are configured in the blueprint, a separate Trendviewer window (from the alarming or analysis results window) pops up when the blueprint starts to execute and trends the configured fields.
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The TrendViewer will display those fields that have been selected during the configuration of the probes.
The Trendviewer is capable of displaying several fields, if available, including:
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the monitored variable,
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the monitored variable set-point
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the upper bound for the monitored variable
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the lower bound for the monitored variable
Cause indicators
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The causes view displays information regarding the major causes for deviations in the monitored variable.
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The Causes window is shown in the diagram below
The height of the red bar indicates the relative contribution of a particular input to the deviation in the monitored variable
Cause Indicator Graph
In the example above, the cause analysis identified the deviation of the set point to be mostly as a result of the deviation in the load.
Leverage indicators
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The leverages view displays information which gives an indication of which of the adjustable variables may be used to correct a process deviation and of these which will provide the most leverage for correcting the deviation in the monitored variable.
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The Leverages window is shown in the diagram below
Diagram of the leverage Indicator graph
The monitored variable lies on the vertical axis. The red bars indicate the relative influence that the input in question will have on the monitored variable if that input is increased. The blue bars indicate the relative influence that the input in question will have on the monitored variable if that input is decreased.
In the diagram above, adjustments should preferably be made to the Load and the Sumpwater to correct the deviation from the set point.
Interrelationship graphs
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The interrelationship graph generates a plot of the monitored variable versus any one of the model input variables.
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The user is able to select which of the model input variables should be used.
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An Interrelationship graph is shown in the diagram below.
Interrelationship graph example 1
Interrelationship Graph example 2
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In example 2 above, one can see that the model estimates the OverFlowDensity to be a fairly linear function of the SumpWater at that particular working point.
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