Learn how to capture and store your industrial process data
Real examples using Ethernet/IP, Allen Bradley and TimescaleDB
- 25th March
- English
-
9:00h Denver (MDT)
9:00h Chicago (EDT)
9:00h New York, Toronto (EDT)
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Webinar brief description and benefits.
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1. Historization and alarms
High-performance time-series Historian + more powerful alarms
Based on TimescaleDB over PostgreSQL: designed to handle millions of datapoints per second in high-frequency industrial data streams.
Disk-based Store&Forward: Data is stored locally if the database or destination is unavailable and is automatically forwarded when connectivity is restored, preventing any loss.
Total flexibility: historical on-premise, cloud or hybrid, with standard SQL access for seamless integration with BI, data lakes and AI pipelines.
Advanced alarms and better notifications:
vNode Notifier is now more advanced with WebHook support (integration with Slack, WhatsApp, Twilio, etc.)
More dynamic and flexible configuration of alarm logic for numeric, boolean, and string tags.
Multiple and customizable alarm conditions, so that alarms better reflect real plant situations and reduce false positives.
Governed, secure, and contextualized access to real-time and historical data, KPIs, and alarms.
Keep governance, security, and context intact without the need for model re-engineering for every AI initiative.
It allows you to publish both built-in and user-defined tools, prompts, and resources to accelerate adoption.
Get started today with vNode 1.22
Want to validate the upgrade in your architecture? We’ll guide you through the rollout. Contact our technical team.
