EPSILONOperations Intelligence

Module 03

NexusTMTurn raw signals into engineered insight using EPSILON proprietary models

Module 03
Nexus
Nexus screen in the EPSILON platform

NexusTM is EPSILON's no-code calculation engine — build virtual tags, KPIs and soft sensors from live or historical data without writing a single line of code.

Pick input tags, compose a formula in the text or visual editor with built-in arithmetic, math, trigonometry, statistics and constants, and watch the live preview update as inputs stream in. Publish, and the new tag behaves like any other: trendable, alarmable, dashboard-ready.

Virtual tagsSoft sensorsKPI builderTemplatesLive preview

No-code formula builder

Combine tags with formulas and aggregations to create new calculated tags instantly — text or visual editor.

Asset-based templates

Define a calculation once and roll it out automatically across every identical asset.

Event-driven logic

Trigger calculations on conditions, schedules or live events for real-time KPIs.

Backfill & scale

Apply new virtual tags retroactively across historical data in a single click.

Practical use case

Soft sensors and KPIs from live tags, in minutes

1

Pick your inputs

Add real historian tags as variables — here a product flow (FIC-1307) and a feed flow (FIC-1305). NexusTM chains raw tags through configurable math and logic blocks.

2

Write the formula

Compose it in the text editor, or drag blocks in the visual editor. Functions for arithmetic, math, trigonometry and statistics are built in; no scripting, no deployment step.

3

Preview live & publish

The preview recomputes as inputs stream in. Publish and the tag is instantly trendable in TwinCore, usable in SimTwinTM, and pinned to any dashboard — backfilled across history on request.

Nexus™ · Tag registryPublished virtual tags sit alongside real tags — formula, unit and visibility at a glance.

Works with

The rest of the platform

Next step

See Nexus on your own data.

Turn raw signals into engineered insight using EPSILON proprietary models.