Introduction to Historian module
The Historian module enables the storage of tag values and their corresponding timestamps in SQL databases or third-party time-series databases. This module is designed to streamline the collection and storage of data in its time context.
The Historian module provides an out-of-the-box solution for archiving historical data without programming requirements. Although it is possible to include custom data logging procedures in your solution using Scripts (.NET programming) and Datasets (SQL storage), the standard configuration tools of the Historian module can fulfill most typical data logging needs.
Paragraph 1: What is the subject, high-level, and how it relates with the context.
Paragraph 2: Explaining details for this page specifically. NEXT PHASE, image visual to see where you are in the platform context (for now, just write ideias on what should the image be)
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Purpose and Key Concepts
Configuration of the Historian module is accomplished through the following sections: Target Database, Historian Table, and Historian Tag.[The Defintions flowing the concept should be VERY CONCISE and objective. Should NOT have any marketing or configuration information, minimum is the best. Make sure to have all the NAMING CONVENTIONS and KEY CONCEPT. Essentially MAKING SURE WE WILL USE THE SAME LANGUAGE, and the following sections will explain what it does, and how it does. But even before I give summary on that is does and how it does, I need to make WE ARE SPEAKING THE SAME LANGAUGE, and to speak the same language some KEYWORDS must have the SAME MEANING, to both parts the communication.
TargetDB
The TargetBD defines the database where variables will be archived or read to be used in charts and calculations. The Target Database can be any SQL Database or, using the TagProvider Extensibility, it can also use third-party products designed to store long-term time-related values, known as time-series databases or Historian tools.
HistorianTable
The HistorianTable is a logical organization that groups Tags for historical archiving. Each Historian Table has a definition of which Target Database the group of Tags will be archived. You can also configure other standard settings that apply to all tags in that group in the Historian Table, such as when to save new data or how long to keep the data.
HistorianTag
The HistorianTag refers to any value contained in a Historian Table to be archived, whether an internal Tag or an external data reference. These variables are typically Tags defined in this platform, but you can also include dynamic references to external data using the TagProvider functionality.
Understanding the Historian module
Typically most of the Modules when they go the Understanding they go right away a more technical deep understand.
In my opinion: the Understand Section should contain the Basic information and links to Advanced information in a child page. For the intermediate content, if it exists, it'll depend on what it to determine its location (if it's with the basic stuff in this page or as a introduction in the advanced page)
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The Historian module has a three-step archiving process:
An event triggers the request to archive a group of values. There are two types of events (Trigger or TagChange), which are configured in a Historian Table.
The Historian archives the values in the Target database. The Target Database can be a SQL Database or a TagProvider that is configured to act as a historian.
If Store and Forward is enabled, the data synchronization is executed. This option stores data in a local database if the Target Database is not available, and sends it to the target when it becomes available.
The archiving process considers two types of archiving events:
Trigger: The Trigger can be a Tag Value, Tag Property, or any object from the runtime namespace (e.g., server.minute). When a value change is detected in the object, the archive request event is generated. Only Tags of domain Server or objects residing in server-side namespaces can be used as Triggers since the Historian process runs on the Server computer. The Trigger is configured in the HistorianTable. All tags and objects connected to that HistorianTable will be requested to be archived, regardless of having or not a new value.
Tag Change: The Tag Change is a check-box on the TableHistorian configuration. Enabling this checkbox allows the Historian process to verify all tags connected to that HistorianTable. When the tag has a new value, the archive request event is generated. The request to archive will be generated only for the Tag that has a new value. However, according to the Historian Target Database, only the tag or all tags in the group will be archived. Further information on this is included in the next section of this page.
For a more detailed Historian execution explanation, check Archiving process.
Configuring the Historian module
Configuration Workflow
This section will vary a lot - it may have one simple way of configuring or different scenarios. If it has too many steps or many different scenarios, it may need child pages.
The typical configuration workflow for the Historian Module has the following sequence:
| Historian module configuration workflow | ||
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| Action | Where | Comments |
Define the default TagHistorian SQL Database | Historian → TargetDBs | By default, TagHistorian maps to a SQLite database named and located equal as the Solution itslef, followed by the proper FileExtension. You're able to change it as needed. |
If using Canary, modify the default target to the the Canary Historian | Historian → TargetDBs | If using Canary, a connection with the local embedded Canary Historian is already included in new solution. Just use that connection, or modify it willing to connect an external Canary System instead. |
If necessary, add other Target Databases | Historian → TargetDBs | If archiving or retrieving data from other Historian tools is necessary, such as InfluxDB or OSIsoft PI, add the connection in the Tag Providers, making sure to mark "Set as Historian Server" checkbox when creating the provider. |
Create and Edit HistorianTables | Historian → Historian Tables | Add or modify HistorianTables, organizing how the Tags will be grouped for archiving and the Target Databases. Learn more at Historian Tables. |
Add Tags to the HistorianTables | Historian → Historian Tags | Connect Tags to the Historian tables. Either by typing, browsing, pasting or any of the available import methods. Learn more at Historian Tags. |
Default TargetDB
When creating a new solution, the TagHistorian is set by default to use the embedded SQLite database provided in the Datasets module. The Historian Target Database can be chosen from a range of options, including selecting another SQL database for the Tag Historian, the Canary Historian, or any available ExternalTags Historian targets.
Historian Database options | |
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Target Database | Description |
SQL Database | Any SQL style database, defined in the object TagHistorian on Datasets → DBs. |
Canary Historian | Embedded CanaryLabs engine included in the framework, or connection with external Canary systems. |
ExternalTags Historian (InfluxDB, OSIsoft PI) | The ExternalTags feature allows for seamless integration with third-party products, which can act as native and fully integrated historian repositories. This feature provides not only current interfaces but also allows for additional products to be easily incorporated using the driver toolkit. |
The SQLite database is suitable for databases up to around 10GB in size. If the number of tags and the save interval are expected to exceed this limit, it is recommended to use another SQL database for the Tag Historian, the Canary Historian, or any of the available ExternalTags Historian targets. It is advisable to select an alternative database option in cases where a solution is expected to create more tags or require frequent saving intervals that exceed the capabilities of the embedded SQLite database.
To configure a different SQL Database for the TagHistorian connection, please refer to the Dataset module configuration.
For other ExternalTags Historian targets, please refer to the ExternalTags configuration to define and configure their use.
Working with the Historian module
Runtime execution
When the Solution runs, the Module Historian runs in an isolated process on the Server Computer.
The main procedures executed by the module include:
Check if a request to archive from a HistorianTable was generated (by the Trigger or OnTagChange events).
Archive the Data as needed.
Synchronize with remote archives if store and forward or redundancy is enabled.
Reply to requests from Displays and Scripts on querying the archived data.
Those procedures as described in detail in the Archiving Process page.
On this page, we have covered the essentials of the Historian module, which provides a comprehensive solution for managing time-related data in industrial equipment and systems. To further enhance your understanding and optimize the use of this module, we recommend exploring the following sections:<<<<. Runtime Execution is STANDARD AND MANDATORY
<<< Explains how the module interacts and has synergy with other modules to accomplish tasks. Not only how the module works with other Modules, but also Users and Other Systems.
Monitoring Historian
It allows monitor and managing historical data storage. This functionality provides a clear view of the data and facilitates the analysis and optimization of system performance. For a comprehensive understanding, see the Monitoring HistorianTables. (Go to Historian → Historian Tables)
Displaying TrendCharts
Is that all data is achieve, with NO addition configuration, can be really used by Displays and scripts
ON Displays, when you configure a TREND chart with a TAG, no configuration is reqrueid required for the tech to use the arquivsarchive, the Platform uses its built cross-referenced to know that the TAG
int ehcarft, has Historian arquivid, and queries it automatcily.
The configuration the trend char tis on THIS LINKD
It allows the visualization of trend charts for analysis and comparison of historical and real-time data. This functionality makes it easy to identify patterns and trends in system performance. For detailed information, see the Displaying TrendCharts.
Querying Data on Scripts
It enables the querying and retrieving of data from variables and historical tables through scripts. This functionality empowers the creation of custom logic and solution-specific analysis. For a comprehensive understanding, refer to the Querying Data on Scripts.
Wrong link, note to myself: find and fix!
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 solutions:
#Data not being archived
Check the Historian Table configuration, Trigger or TagChange settings, and Target Database. Ensure the settings are correctly set up, and the database connection is valid.
#Incomplete data
Ensure that the Historian module is started (IsStarted flag) and the archiving process is functioning correctly. Check for any error messages in the OpenStatusMessage string.
#Slow data retrieval
Enable the caching feature (EnableCache) to optimize performance when requesting large amounts of data.
#Store and Forward not working
Verify if the Store and Forward feature is enabled and configured correctly. Check the local database and target database connections.
#Database connection error
Check the database connection settings and ensure that the database is reachable.
Best Practices and #Recommendations
To ensure the smooth operation of the Historian module, follow these best practices:
#Use descriptive names for Historian objects
Use clear and descriptive names for Historian Tables, tags, and other related objects.
#Optimize data retrieval
Optimize data retrieval by enabling caching when working with large datasets.
#Ensure data integrity with Store and Forward
Use Store and Forward to ensure data integrity in case of temporary database connection issues.
#Plan your data storage strategy
Determine how much data you want to store and for how long you want to store it. It is important to plan your data storage strategy in advance so that you can optimize the historian module for your specific requirements.
#Document yours historians configurations
Document your historian module configuration to make it easier to manage and maintain. This includes documenting data sources, data types, sampling rates, storage options, and performance optimizations.
#Use security best practices
Protect the historian module from unauthorized access by implementing security best practices such as user authentication, access control, and data encryption.
Historian Runtime Attributes
The Historian namespace exposes properties and methods of the .NET objects used by the Tag Historian Module execution.
For general information on namespace and object concepts, go to the section Objects and Namespaces.
This section describes only some commonly used properties. See Namespaces Reference for the complete list of properties and available methods.
Examples of Historian properties | |||
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Property | Type | Description | To access the property on CodeBehind |
| Boolean | This is a Boolean flag that indicates whether the Module Historian has started. If the flag is set to "true," it means that the Module Historian is up and running, actively archiving data according to the configured Historian Tables. If the flag is set to "false," the Module Historian has not yet started, and no data archiving is taking place. |
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| String | This is a string that displays a message indicating the success or failure when initiating the Module Historian. If the Module Historian starts successfully, the message will typically show "OK" or a similar confirmation. If there is an error during the initiation process, the message will display an error description to help diagnose and troubleshoot the issue. |
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| Boolean | This is a Boolean flag that, when enabled, allows the creation of temporary binary files on the server computer to optimize the performance of the TrendChart object when requesting large amounts of data. With caching enabled, the system can quickly retrieve the necessary data for the TrendChart object without causing significant delays or performance issues. By setting this flag to "true," users can benefit from improved performance and responsiveness when working with large datasets in the TrendChart object. |
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