All Units

Introduction 

  1. Architecture

Core Concepts 

  1. Installation
  2. Configuration

Data Connectivity 

  1. Basics
  2. OPC Classic
  3. OPC UA
  4. SNMP
  5. Modbus
  6. Web Services
  7. Databases
  8. Other Connectivity Options

Dashboard Visualization 

  1. Basics
  2. Symbols
  3. Commanding
  4. Navigation
  5. Aliasing
  6. Asset Navigator
  7. Alarm Viewer
  8. Grid Viewer
  9. Trend Viewer
  10. Recipes
  11. Schedules
  12. Helper Controls
  13. Advanced Controls
  14. 3D Graphics
  15. Security
  16. Cloning

Clients 

  1. Basics
  2. Desktop Deployment
  3. Web Browser Deployment
  4. Mobile Deployment
  5. KPI Self-Service Dashboard

Asset Organization 

  1. Basics
  2. Defining Assets
  3. Commanding
  4. Asset Templates
  5. Visualization
  6. Bulk Asset Configuration
  7. Advanced Topics

Data Historian 

  1. Basics
  2. Visualization
  3. Calculations
  4. Data Exchange

Alarming & Notifications 

  1. Basics
  2. Hyper Alarm Server
  3. Hyper Alarm Logger
  4. Alarm Visualization
  5. AlarmWorX64 Server
  6. AlarmWorX64 Logger

Helper Modules 

  1. Recipe Management
  2. Scheduling
  3. Triggers
  4. Localization
  5. Unified Data Manager
  6. Workflows
  7. Expressions

Security 

  1. Basics
  2. Security Server
  3. Audit Logging
  4. Securing Data in Transit
  5. Securing Data at Rest

Reporting 

  1. General
  2. Report Data Formats
  3. Advanced Topics

Automated Transactions 

  1. Basics
  2. Process Files
  3. Processing Data Sources
  4. Notifications
  5. Advanced Topics

Project Management 

  1. Project Backups

Fault Detection & Diagnostics 

  1. Basics
  2. Fault Rules
  3. Diagnostic Models
  4. Cost Analysis
  5. Visualization

SPC/SQC Analysis 

  1. Basics
  2. Visualization
← Return to Dashboard Visualization
SECTION 16

Advanced Controls

Total: ~7 min

Advanced controls are typically those which interact with multi-dimensional datasets or applications with their own bespoke interface. There are a variety of ways the visualization platform can be extended to incorporate them.

Using Data Diagrams

Data Diagrams can be an efficient way of portraying a large, dynamic dataset in a color-coded grid for quick analysis. They are especially useful for discovering patterns within multi-dimensional datasets.

3:31 min

Creating Heatmaps Using Standard Controls

Heatmaps take data with X and Y coordinates and use them to build a gradient heatmap, such as is commonly used in floorplans or regional geospatial analysis.

3:03 min

Analyzing Hierarchical Data with Sanky Diagrams

Sankey-diagrams present the flow of resources from sources to destinations. The visual presentation is ideal to analyze distribution pattern.

4:12 min