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In this section, you'll find links to all of the main sections of our documentation, including a broad overview and information relating to modules, architectures, installation, and our main User Guide. The sidebar on the left is a table of contents organized so you can navigate easily and quickly through Tatsoft's features, modules, functions, and so forth.
This sections gives an overview on key features and highlights, architecture, core modules and application areas. Platform Overview
Are you looking for something that has changed? Or maybe you want to see what we have been adding to the software? Check the New in 9.2 page for a list of improvements. New in this Version.
You can find our free online Training Courses at training.tatsoft.com, where we have courses from basic to advanced.
For registered users, submit a ticket by email or at our support portal support.tatsoft.com.
Connectivity is one of our core values: we have native Integrations to OPC UA, MQTT and Canary Labs, and we offer over 70+ Communication Drivers. Integrations.
Check the Demo projects included in the product installation, and the various Project Examples about specific features.
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For a quick highlight of some of the features and benefits included in 9.2, click the links below. Detailed docs are in the menu to the left. Existing customers with a support contract can head over to support.tatsoft.com to submit a ticket. Join our forum. Ask questions. Leave feedback, ideas, or anything else relevant. Grab the latest software (Download Page) and let us know what you think. We are here for you! - The Tatsoft Team |
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Find Detailed Docs Here: Canary Labs |
Tatsoft Canary Historian
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Find Detailed Docs Here: Tag Provider |
Canary and Tatsoft share a common tag definition and asset modeling
In addition to the embedded Canary Historian, we also have a new built-in integration with the Canary System that is easy to use, high speed and extremely secure, as it leverages Canary’s .NET API to connect at the core level, allowing you to publish and consume data and use Canary’s tags and models as well.
There’s no need for extra configuration or even to create tags within FrameworX – simply define the server and browse the assets you need!
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Find Detailed Docs Here: Asset Data Modeling |
Easily develop a Unified Namespace or any Asset Hierarchy
Add clarity and context. Deliver all the info you need to anyone, anywhere, anytime.
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Find Detailed Docs Here: Tag Provider |
Automatic & Tagless Connections!
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With FrameworX 9.2, we are releasing a MQTT Client simulator (with Sparkplug) to make testing easier and faster – testing for projects in general, testing for communication with the FrameworX MQTT Client, and for testing our new Dynamic Tag Provider functionality with MQTT.
Why struggle with multiple tools? With this simulator, you can easily publish 30k simulated values to the MQTT Broker – all from the same design environment.
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Get in touch to learn more. |
We’ve Made Choosing A MQTT Broker Much Easier!
Those familiar with MQTT know that projects using this technology need a MQTT Broker: with FrameworX, we connect to any brokers that use MQTT protocols, as well as MQTT SparkplugB and Azure IoT, and also including an embedded MQTT Broker for testing and development.
As your applications expand, or if you want the benefits and support of an enterprise class MQTT Broker, you can buy a bundled HiveMQ subscription license with any Tatsoft product.
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Easy Integrations: Easier to find and browse data; based on the latest OPC UA specifications.
More Secure: Easier to configure; More authentication and encryption capabilities to protect data.
More Connectivity: Support is available for Windows and Linux devices
Enhanced Performance: Performance improvements, connecting and exchanging data faster than before
Web Interfaces from both Linux and Windows servers!
General improvements such as:
You can now connect to the ControlLogix device and see all available PLC addresses – that means ConttrolLogix may be added as a Tag Provider, allow you to access their data models and definitions without creating any tags within FrameworX.
Canary and MQTT
We’ve added the Store-And-Forward functionality when FrameworX publishes data to the Canary Historian or a MQTT Broker, which means we temporary store the data of a message for transmission to its destination at a later time, in case the network is not accessible for any reason.
This functionality is essential in data collection projects, where the data is sent to a remote repository.
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Find Detailed Docs Here: Demo |
We’ve added a new demo project that showcases an example of distributed applications, simulating the collection, publishing, and viewing of the data of a solar panel project.