Mining Surface Processing Plant

Application

An overview of assets that drill down to individual assets providing real-time data and status of the pumps. The application is configured using:

Landing Page

Block	Description
Recommendations	To view current open recommendations for all assets
Recommendations	To view chart for open recommendations for all assets
Indicator	To display the asset status

2.0 Pump Drilldown

Block	Description
Chart	To display a window of live data
Circular Gauge	To display the efficiency
Recommendations	To view current open recommendations the specific pump
Indicator	Status indicators
Linear Gauge	To display the health scores
Unity	Visualize the 3D unity model
Data Grid	Presenting the data for the work requests

2.1 Pump Drilldown Schematic

Block	Description
Chart	To display a window of live data
Circular Gauge	To display the efficiency and degradation loss
Recommendations	To view current open recommendations the specific pump
Indicator	Status indicators
Data Grid	Presenting the data for the work requests

2.2 Pump Drilldown Timeseries View

Block	Description
Time series Chart	Visualize the time series data for the pump

2.2 Pump Timeseries Comparison

Block	Description
Time series Chart	Visualize and compare the time series data for the pumps

Recommendations

The recommendation is configured using four rules across three recommendations:

Data Stream

An example of how to contextualize simulated data, broadcast the data, run recommendations and output the data to the Application Designer. The data stream is configured using:

Processing Plant Image Map View

Agent	Description
SQL Context Provider	Read asset information
Join transformation	Merge assets with generated recommendation
Calculated Field	Calculate colors and work assigned
Read Recommendations	Read all recommendations
XMPro App	Publish to image map

Simulate Pump Telemetry

Agent	Description
Event Simulator	Generate Pump Simulator Data
Calculated Field	Add Asset Ids
Broadcast	Broadcast
Round	Rounding
XMPro App	Data [Single]
XMPro App	Data [Chart]
Run Recommendation	Run Recommendation

Steps to Import

1. Create/confirm variables

Ensure the following variables are available to be used in the data stream:

App Designer URL
App Designer Integration Key (Encrypted)
SQL Server
SQL Username
SQL Password (Encrypted)
Azure Digital Twins and Azure Data Explorer
- URL, Client ID, Tenant ID and Secret
- Select appropriate data to an existing Azure Digital Twins and Azure Data Explorer instance

2. Run SQL Scripts

Execute the scripts in SQL Server
Ensure the data is successfully loaded into the database

3. Import the Data Stream

Select the highest agent version number on import, if prompted
Assign Access to others as required
XMPro agents () - ensure the URL & Integration Key are selected
Recommendation agent () - ensure the URL & Integration Key are selected
Click Apply and save the data stream
Publish the data stream and open the live view
Ensure there is data in the live view by monitoring the agents

4. Import the Recommendations

Mark the included form if it doesn’t already exist and map the data stream to import
Assign Access to others as required

5. Import the Application

Map the data source on import:

Landing Page:

Data Source Name	Data Stream	Agent Option
Live Data	Processing Plan Image Map View	Publish to Image Map

2.0 Pump Drilldown:

Data Source Name	Data Stream	Agent Option
LiveTelemetry	Simulate Pump Telemetry	Send to App Designer

2.1 Pump Drilldown Schematic:

Data Source Name	Data Stream	Agent Option
LiveTelemetry	Simulate Pump Telemetry	Send to App Designer

Assign Access to others as required
Ensure the App Data connection properties are configured and valid

Edit the application to link the recommendations (Select Amp Trip, Discharge Pressure in Block Properties under Behavior)

Page	Location
Landing Page	Top Right and Chart at Bottom Left
2.0 Pump Drilldown	Bottom Right
2.1 Pump Drilldown Schematic	Bottom Right

Save the application
Publish the application
Ensure there is data in the application and that the Unity model is receiving its data by hovering over and observing the values