#47 N4 Tridium Niagara - Machine learning - History data sent via email, complete setup

Описание к видео #47 N4 Tridium Niagara - Machine learning - History data sent via email, complete setup

Machine learning - This video shows you how to set up email and send histories via email and how to use the series transform block and send CSV data via email.

Niagara Tridium config.bog zipped file download https://bmsparts.co.uk/wp-content/upl... for you to learn N4 software and graphics.
After download, you unzip the file (YouTubeForDownload.zip) and then place the folder (YouTubeForDownload) in your C:\Users\YourUserDirectory\Niagara4.8\TridiumEMEA\stations

Niagara Framework® is a comprehensive software infrastructure that addresses the challenges of creating device-to-enterprise applications. It serves as a central console for connecting real-time operational data to the people and systems that manage workflows in smart buildings, data centers, industrial processes, smart cities, and other aspects of business enterprises.

Niagara provides the critical, cyber-secure device connectivity and data normalization capabilities needed to acquire and unlock operational data from device-level and equipment-level silos.

The control engine at the core of Niagara enables users to not just monitor data flows, but to create logic sequences that affect controls programming based on data observation. Systems integrators use the data management and user presentation applications built into Niagara to manage histories, schedules, and alarms.

They can create custom user interfaces for end-users with the tools built into Niagara, or purchase graphical UI templates and components from the many Niagara partners that specialize in graphics and dashboarding.

Today, there are almost one million instances of Niagara at work in hundreds of thousands of projects worldwide covering a wide range of applications. You can deploy Niagara to integrate the many different controls and environmental monitoring sub-systems necessary to support operations in an almost limitless set of scenarios.

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