What Signal Hub is built to do
Import, profile, convert, query, visualize, and export engineering signal datasets through the Signal and DataLens workspaces.
Signal Hub
Signal and DataLens dataset import, decoding, unit conversion, analysis, query, and evidence export.
Data & AI
FAIS Hub Product
Purpose and problem
A focused product for a defined operating job.
Import, profile, convert, query, visualize, and export engineering signal datasets through the Signal and DataLens workspaces.
The operational gap it resolves
Engineers lose time decoding legacy files, aligning parameters and units, and rebuilding record, event, and trend queries for every investigation.
Core capabilities
Capabilities designed around the product boundary.
CSV and DB import
DataLens decoding
Units and trends
Record, event, and evidence exports
Use cases
Where teams put Signal Hub to work.
Designed for: Controls engineers, analysts, and verification teams
Preview and import CSV or database datasets with reusable source profiles
Manage parameters and engineering units, run conversions, and save trend-analysis profiles
Decode and index DataLens sources, query records and events, save workspaces, and export CSV, Excel, or SVG evidence
Platforms, protocols, and technology
Built for the environments that industrial teams already operate.
The exact deployment profile is selected during discovery and validated against the target equipment, network, security, and lifecycle requirements.
WebCSVSQL databasesPLF and XML DataLens sourcesSQLiteChartingExcel and SVG exportBlazor ServerSQLPLFXML.NET 10
Platforms, protocols, and technology
Protocols and technology ecosystem
Choose the adapters and services for your equipment and deployment profile.
Databases (1)
Web and communication (1)
Industrial protocols and equipment (1)
Logos identify their respective technologies or vendors. Trademarks belong to their owners; no endorsement or certification is implied.
Product composition
A clear architecture from source to operational outcome.
- 01
Inputs and boundary
Source, dataset, parameter, unit, analysis, job, and audit APIs
- 02
Core product services
DataLens decode, validation, indexing, migration, preferences, and XML repository services
- 03
Experience and outcomes
Blazor trend, record, event, template, converter, and administration workspaces
Product advantages
Why teams choose the FAIS product approach.
Repeatable unit-aware analysis
Recoverable legacy DataLens workflows
Shareable engineering evidence
Plan the next step
Evaluate Signal Hub for your operation.
Share the equipment, workflow, data, security, and deployment constraints. FAIS will help define a focused discovery or pilot path.