ogamma Visual Logger for OPC User Manual

Integration tool to collect, store, visualize and analyze OPC UA data.

Contents:

• Introduction
  • What is ogamma and ogamma Visual Logger for OPC
    • ogamma
    • ogamma Visual Logger for OPC
  • Licensing
    • Licence for ogamma Visual Logger for OPC.
    • Licenses of open source dependencies.
  • Target Platforms
• Features
  • Deploy
    • Docker.
    • Distribution packages for various target platforms.
  • Configure
  • Collect
  • Store
  • Visualize
  • Analyze
  • Troubleshoot
• Getting Started
  • Setup using Docker
• Deploy
  • Setup using Docker
  • Setup in Windows
    • 1. Install required prerequisites
      • a). Install Visual C++ 2019 redistributables (64 bit version)
      • b). Install / Configure database to store time-series data.
    • 2. Install ogamma Visual Logger
    • 3. Start ogamma Visual Logger.
    • 4. Install Grafana
  • Setup in Ubuntu 18.04
  • Setup in Debian Stretch
  • Upgrading from older versions.
    • Docker containers.
    • Windows and Ubuntu installations.
• Activate
• Reactivate.
• Configure
  • Application Instances.
  • Configuration files.
  • Configuration steps.
    • 1. Connecting to the Configuration database
    • 2. Collector Configurations.
    • 3. Time-Series database connection settings.
    • 4. Configuration of application instance.
• Collect
  • Connections to OPC UA Servers.
  • Browsing OPC UA Server address space and selecting variables to log.
  • Logged Variables table.
    • Columns.
    • Grouping of logged variables
    • Filtering by OPC UA Server.
    • How to set default values for logging options.
    • Display real time data.
    • Other options.
• Write values to OPC UA Variables
• Time-Series Databases
  • Common settings
    • Settings for intermediate in-memory queue.
    • Settings for OPC UA to TSDB mapping.
  • TimescaleDB/PostgreSQL.
    • Installation.
    • Configuration.
    • Mapping from OPC UA to SQL database, table and columns.
  • InfluxDB version 1.7.
    • Installation.
    • Configuration.
    • Mapping OPC UA to InflixDb.
  • InfluxDB version 2.0.
    • Installation.
    • Configuration.
      • Steps to configure InfluxDb2 running in Docker container.
      • Grafana data source plugin for InfluxDB 2.0
    • Mapping OPC UA to InflixDb.
  • Apache Kafka
    • Configuration.
    • Mapping from OPC UA to Kafka Topic, Key names and Partitions.
      • Payload
  • TSDB database access optimization.
• Store
• Visualize
  • InfluxDB 2.0 built-in visualization tools.
  • Visualization with Grafana.
  • Install Grafana
  • Setup Grafana data source.
    • Using SimpleJson data source.
    • Using PostgreSQL data source.
  • Setup dashboards.
    • Create new dashboard.
    • Reading values from SimpleJson data source
    • Reading values stored in PostgreSQL database.
• Analyze
  • Test use case
  • Step 1: Add server node into Address Space.
  • Step 2. Start logging of values for OPC UA variable node.
  • Step 3. Configure Grafana panel to view data values
  • Step 4. Analyze data visually.
  • Step 5. Open PgAdmin page and connect to the TSDB database.
  • Step 6. Run SQL queries.
  • Step 7. Look at log files for additional information.
  • Step 8. Conclusion.
• Roadmap
• Support