The management dashboard offers clients a comprehensive view of the key tags they wish to monitor, and the resulting revenue outcomes-- highlighting savings or losses in Rupees. The revenue generated is visually represented in the graph, making it easy to interpret and analyze the insights derived from the configurations set up in the Process Parameters and Reliability section. This document provides a detailed explanation of the dashboard interface, its components, and functionalities, enabling effective monitoring, comparison, and performance analysis through intuitive visualizations and actionable data metrics.
Figure 1: Management Dashboard
Refer to the figure above. Positive values on the graph indicate profits, while negative values represent losses. The graph displays data on revenue details for the unit over one year. The graph will reflect information for those specific months for which data is available. For the above graph, data is available only for four months within that year. The initial section of monthly benefits is calculated based on the reliability and process sections described below.
Figure 2: Top Navigation Bar
Tabs:
Process Tab: Active by default, this tab shows process-related insights such as benefits and parameters.
Reliability Tab: Available for switching to reliability-focused metrics and analysis.
Export Button:
Preview Report Button on Process selection:
Figure 3. Process Report
Preview report button on the Reliability section:
Figure 4. Reliability Report
Settings Icon (Gear Symbol):
Add Parameter Button:
Figure 5: Add parameter window
Select Parameter:
Enter Keywords:
Once the user selects the parameter bucket size, the value before the digital twin (known as the Baseline value), and the value they want to achieve for that parameter, the data is displayed in a tabular format. Although the Baseline value is automatically generated, it can be edited, and the values can be adjusted as needed.
The bucket size and Baseline value are automatically generated, while the user must input the target values for each load value and tag. Additionally, the user must enter the heat rate impact that the parameter has per unit change.
The top panel in the process parameters section includes the following features:
Figure 6: Top Panel
Date/Time Selection:
Monthly Benefits Visualization
Graphical Representation:
This bar graph displays the Monthly Benefits in Indian Rupees (₹) over 12 months (December 2023 -- December 2024)by default. Dates can be selected.
The x-axis represents the months, and the y-axis represents the monetary benefit in Indian Rupees.
Each bar corresponds to the selected process (indicated by the color legend "Process" at the bottom left of the chart).
Date Range Selector (Top Right of Graph):
View Options (Top Right Corner of Graph):
Bar Chart Icon: Displays data in bar chart form (default view).
Line Chart Icon: Converts the view into a line graph for trend visualization over time.
Stack chart: Presents data in a stacked bar chart format, where multiple data series are layered on top of each other within each bar. This visualization allows users to analyze the contribution of individual components to the overall total, making it easier to compare values across categories and identify patterns or trends within the dataset.
Figure 7: Process Parameters
In the process parameters section, each parameter entered by the user is listed. Users can expand each parameter to view detailed information, including its operational effects, financial implications (like cost per unit), and performance metrics. This feature helps users understand how each parameter impacts revenue generation, facilitating informed decision-making and strategic planning.
This section thus details how the "Corrected FGET AVG" parameter impacts both operational efficiency and financial metrics, providing essential data for analysis and decision-making. The negative values in impact and rupees with a small inverted red triangle indicate areas where performance and costs can be optimized.
Below is an explanation of each field, using the first row from the image as an example:
Figure 8: Process Parameters
COMP-1 BED LVL TX
Description: The main identifier/parameter for the component being monitored. A unique identifier or tag associated with the parameter or sensor is given just below the main identifier.
₹ 2.69K
Description: The total cost impact associated with this parameter for the selected time period, indicating a net positive revenue or efficiency gain during the monitoring period.
Date:
Load:
Description: The load measurement, typically expressed in tons per hour (Tph), represents the operating load of the system or boiler being monitored.
Example:
12 December 2024: 821.21 Tph
13 December 2024: 829.01 Tph
14 December 2024: 823.88 Tph
Day Average:
Description: The average value of the parameter observed over the day, expressed in TPH.
Example:
12 December 2024: 12.25 TPH
13 December 2024: 14.37 TPH
Baseline Value:
Description: The baseline or reference value for the parameter, derived from benchmarking or tag meta.
Example: 14.30 TPH across all dates.
Target:
Description: The target value set for the parameter, representing the optimal operating condition.
Example: 11.00 TPH across all dates.
Mean Deviation:
Description: The deviation of the parameter from its target value.
Example:
12 December 2024: 2.05 TPH
13 December 2024: -0.07 TPH
Duration:
Description: The time for which the parameter ran for a particular load.
Example:
12 December 2024: 1.10 Hrs
15 December 2024: 1.17 Hrs
Impact:
Description: The impact of the parameter deviation on performance or efficiency, measured in kilocalories per kilowatt-hour (kCal/kWh).
Example:
12 December 2024: 0.50 kCal/kWh
16 December 2024: -0.08 kCal/kWh
Rupees (Revenue):
Description: The financial impact of the parameter deviation. Positive values indicate revenue gains, while negative values indicate a cost.
Example:
12 December 2024: 313.00 Rupees (▲)
13 December 2024: -12.29 Rupees (▼)
15 December 2024: 1.14K Rupees (▲)
Note: Green arrows (▲) indicate a positive revenue impact, while red arrows (▼) indicate a negative financial impact during the selected date and time.
Edit and Delete Option
Figure 9: Edit and Delete option
When edit option is clicked, the following dialog box appears,
Figure 10: Edit window
The Boiler/Turbine and the FGET value aren't editable. The user can edit the Baseline, Target and the Heatrate impact for various bucket sizes.
The user can also use the "wand" icon to automatically fill in the value.
The user can also delete the selected parameter by clicking the delete option.
Purpose:
Reliability Metrics provide a high-level view of the system's performance over time, particularly focusing on cost savings and overall financial impact.
Figure 11: Reliability tab
Clicking on the Reliability tab reveals two subsections:
The graph can be viewed in three formats---Line Chart, Bar Chart, and Stack Chart---allowing users to choose the display option that best suits their needs. The figure below shows the Bar Chart view of the profits graph for October.
Features:
Monthly Benefits Section:
This section displays monthly financial benefits in a graphical format.
It helps to track benefits in Rupees (in Millions) across specific months
It offers visual insights into how the system's efficiency improvements translate into cost savings over time.
Benefit: Quick identification of months with significant gains, enabling targeted actions to replicate success.
Left Side: The left section provides details on the status of incidents that have been acknowledged (approved), how many tasks have been created and assigned for incidents, how many incidents have been completed, and how many incidents have been rejected which are moved to Noise incidents.
In the example below, out of 100% (234 incidents) of incidents, 3% (8 incidents)have been acknowledged. Additionally, tasks have been created and assigned for 1% (i.e. 3 incidents) of the incidents. 67% of the incidents are resolved and completed. 7 incidents out of 234 have been moved to noise incidents
Benefits per Incident: At the end of the process, if users perceive any benefits from resolving the acknowledged and assigned incidents, these will be reflected under the Benefits per Incident and Total Benefits section. So total benefits from all the incidents can be seen as Rs 50 while the Benefit per incident is Rs 25
Figure 12: Reliability Benefits of Selected date range from Management Dashboard
Figure 13: Filters
Group By Dropdown:
This feature allows users to group data based on specific categories---Process or System.
Figure 14: Management Dashboard (Bar chart, sorted by process)
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Figure 15: Management Dashboard (Bar chart, sorted by system)
Absolute / Custom Toggle:
Absolute: Default view; compares the current data without user-defined custom changes.
Custom: Allows users to set specific custom parameters or metrics for comparison.
Figure 16. Compare Section
Figure 17: Comparison of two different time ranges
Interval and Interval Frequency:
Users can define the comparison period:
Interval: Number of units (e.g., 1).
Interval Frequency: Time unit (e.g., Years, Months, etc.).
Compare Button:
Clear Button:
Users can view financial impacts due to operational performance over a specific period.
A "Cost per K/Cal" metric is displayed, which reflects energy cost efficiency.
It helps to dynamically update this value to see real-time changes in cost impact.
Figure 18: Update Cost per K/Cal