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<h1 style="text-align: center;">DataExplorer Tools<br> (OPC, MQTT, PLCs, SQL)</h1>
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Introduction to the DataExplorer
Easily perform data mining and monitoring from various data sources like:
- MQTT Brokers
- OPC-UA
- PLCs
- SQL Databases
Introduction
The DataExplore tools allows you to easily perform data mining and monitoring from various data sources, including MQTT Brokers, OPC-UA, PLCs and SQL databases.
Each Data Source has specific features suitable that connection, but all tools share common look and fell, and similar workflows. This section will present those common workflows, and the specific features for each connection type, which include:
MQTT: Run Built-in Broker or the publisher simulator. Browse data from any broker.
OPC-UA: Run Built-in Server or simulator. Browse data from local or remote servers.
ControlLogix PLCs: Discover ControlLogix PLC in your network, connect to browse its data structure.
SQL Queries: Explore SQL database and build new queries visually.
On this page:
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Key Concepts
The purpose of the DataExplorer tools is the allow engineers to very the data sources they intend to user the project, as well test and verify the data of the connection in use..and Terms
Connection Target
The connection target configuration is sets up the setup of the location of the data source that will to be useused. Typically, you can select among 3 from three types of locations:
Local
:
This option connects automatically to some data
connections defined in the
solution configuration.
TagProvider: This option connects with
TagProvider, which are dynamic data sources created in the
solution configuration.
Remote:
This option allows you to connect with a remote source, not necessarily used by the
solution.
Connection Status
In order to be able to To browse data, the first step is to Connect connect with the data source. After the connection is established, the DataBrowser Data Browser tree will regularly update with data from the sources.
The Note: For SQL queries is an exception, the DataGrid results view , will only will update after you command execute a query, but the connection is executed established automatically.
Data Browser Window
For Field Devices field devices (MQTT, OPC-UA, PLC'sPLCs), after the connection is established, am Hierarchical a hierarchical tree with the data structure and values of the value is displayed. For SQL queries, the results are shown in a DataGrid.
Export Settings to the
ProjectSolution
When connecting with a remote Data Source, data source not used by the Projectsolution, there are option so with one click, you incorporate that Data Source to your application. For options to incorporate that data source into your application with one click. For SQL queries, you can export your customization of DataGrid columns , to be used in operator displays.
Understanding the
Data ExplorerDataExplorer Tools
Overview
The Data Explorer DataExplorer tools are typically used in the following phases of the Project project development:
- Data Discovery:
- Whether using MQTT, OPC-UA, ControlLogix PLCs, or SQL
- Databases, the
- DataExplorer tools
- provide a user-friendly and easy
- way to verify the consistency
- of the data you intend to work with.
- DataTemplates and Tags
- Definition:
- DataTemplates, local Tag, and
- TagProviders can be easily
- created
- in the
- project configuration using the data displayed in the
- Data Browser window.
- Testing and Validation:
- When used in conjunction with connections already defined in the
- project configuration,
- these tools can be used to validate and monitor the results of
- data acquisition.
Typical Workflow
- Start Servers or Simulators:
- When using MQTT or OPC, you have the option to use the built-in OPC-UA server,
- the local MQTT
- broker,
- or run data simulators.
- Select the
- Option for Connection Target:
- Select the connection, either from the
- project or
- remote sources. For ControlLogix
- PLCs, you can also search for devices in the network automatically.
- Browse the
- Data Structure and Values: View the values in the TreeView explorer (for OPC, MQTT,
- and PLCs)
- or in the DataGrid (for SQL
- queries).
- Add Connections,
- DataTemplates, or DevicesPoints to the Unified Namespace:
- Export server connections, data structures,
- or specific topics to be used by the application.
Configuring the MQTT Explorer
Content
Configuring the OPC-UA Explorer
Content
Configuring the SQL Query Builder
Content
Add reference to a Child Page about the Visual Query Editor
Working with the
Data ExplorerDataExplorer Tools
Data Acquisition Execution
Each Data Source Each data source has its own procedure to execute the data acquisition.
Getting data from theMQTT
BrokerTools
With MQTT, the Data Browser will will act as a client application to the Brokerbroker, subscribing to the data visible on the User Interfaceuser interface.
Getting data from the OPC -UA ServerFollow the link MQTT Tools for further information.
OPC Tools
With OPC-UA, the Data Browser will will act as a client application to the OPC Serverserver, reading the data visible on the user interface by polling every second.
Follow the link OPC Tools for further information.
PLC Finder
With PLCs, the Data Browser will send protocol request to the PLC, reading the data visible on the User Interface.
Getting data from SQL Databasesuser interface by polling every second.
Follow the link PLC Finder for further information.
SQL Queries
With SQL Databases, the DataGrid is only updated when the Execute Query command is executed.
Follow the link SQL Queries for further information.
Performance Considerations
As this is only a data explorer interfaceDataExplorer interface, the default update cycle from update is one second, but that doesn't . However, this does not reflect the performance you will have experience at runtime, which can be much higher according depending on your configuration.
For all Field Protocols field protocols (MQTT, OPC:A-UA, PLC native protocols), you can defined define parallel requests, subscribing subscribe instead of polling poll (if the protocols protocol allows), and use the AccessType concept , to group your data according to its priority, usage in the application, or process requirements. There the The volume of data and performance the Project project can manage in Runtime at runtime is way significantly higher than the ones at the data explroer tools.
Troubleshooting and Best Practices
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Troubleshooting and Common #Issues
The Historian module may encounter some issues in its operation. Here are some common issues and their troubleshooting:
#Issue
Solution
Best Practices and #Recommendations
To ensure the smooth operation of the Historian module, follow these best practices:
#Best practice
Recommendations
that of the DataExplorer tools.
In this section:
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