Tridium NA-EC-N4-1000 Niagara Analytics is a data analytics extension to the Niagara Framework® available on Niagara 4 JACE® 8000 controllers. It gives Niagara 4 and JACE 8000 users the ability to apply a variety of analytic algorithms and diagnostics to both historical and real-time data available in Niagara. Users have the ability to discover and mitigate previously unknown operational issues, which helps to maximize their investment in Niagara Framework-based products.
- Tridium/VYKON Part # NA-EC-N4-1000
- Niagara Analytics Framework (on N4) license for 1000 analytic points for an Embedded Controller (JACE 8000) (not for Supervisor based Analytics)
- Latest Release: Niagara Analytics 2.1; compatible with Niagara 4 version 4.4 and 4.6.
- Niagara Software License Only
- One data model common to Niagara 4
- Ability to leverage Niagara 4 tagging and hierarchies
- Algorithm library with examples for BAS and energy
- Real-time data analysis and control on the onsite JACE controller
- Wiresheet programming using Niagara Workbench
- Extensive HTML5 user visualization
- Ad-Hoc energy reporting
- Uses Niagara histories instead of an external database
- Analytic alerts that provide actionable information
For more info on latest Niagara Analytics software release, please refer to the documents below:
This is a software license only product. No Hardware included.
Tridium NA-EC-N4-1000 Niagara Analytics Framework N4 License 1000 Analytics Points for Embedded Controller JACE 8000
Tridium NA-EC-N4-1000 Niagara Analytics is a data analytics extension to the Niagara Framework® available on Niagara 4 JACE® 8000 controllers
When you’re talking about the IoT, and the thousands of connected IoT devices, the big question becomes how to profit from “big data.” Traditional methods of analytics are not suitable for harnessing the IoT’s enormous power. The Niagara Analytics Framework is purposefully designed for the IoT.
Niagara 4 Data Model
Typical analytics applications require designers to spend a large percentage of their time creating a data model before beginning the actual analytics application. Because a Niagara 4 application most likely has the data model designed as part of the end-user navigation, designers can usually skip the data modeling phase completely and go right to building an effective analytics solution. Niagara Analytics leverages Niagara 4 tagging and hierarchies—including Niagara 4 dictionaries such as Haystack—thus establishing a common data model. Niagara Analytics uses Niagara histories, so no external database configuration is required.
Defined Base Algorithms Library
With Niagara Analytics, you never have to repeat the same effort. Our algorithm library has a wide range of predefined algorithms that can be customized and extended to meet the specific needs of the deployment. We also provide more than 40 functional and mathematical blocks to help you design and create your own custom algorithms, or modify as needed. Use your algorithm to evaluate a single piece of equipment or all pieces of equipment in your enterprise, then save your entire analytics operation as a template and redeploy as often as needed.
Niagara Analytics uses the same approach to programming as the Niagara Framework, making it easy to use immediately, without the learning curve of mastering a new programming language. Users can drag and drop function blocks onto the wiresheet from a comprehensive Niagara Analytics palette.
Real-time, On-Premise Analytic Control
Now you can run on-site analytics directly on an embedded controller such as the JACE 8000 to identify a situation and make an immediate change in real time. This enables you to make faster decisions while conserving computing power. Results can then be pushed up to the server to make changes across the enterprise.
Automated Control Strategies
Niagara Analytics makes data work for you, not the other way around. Advanced alarming can collect data from multiple real-time data sources and make intelligent decisions based on custom algorithms, thus providing a more sophisticated off-normal analysis. This process can eliminate many enduser nuisance alarms. FDD determines when equipment and systems need servicing based on their actual condition, rather than a scheduled date.
With enhanced HTML5 visualization, interpreting and organizing information is easier than ever. Niagara Analytics lets you chart analytical points, alerts and algorithm outputs visually. Choose from a robust library of standard reports or use widgets to build custom dashboards and reports on anything from energy usage to cost ranking to equipment operation. Identify data anomalies
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