Industrial data acquisition

Data collection and digitization of field data

WHAT WE OFFER YOU

Collecting field data is the first step toward a connected and smart factory.
KyberEdge designs robust solutions to connect plants, sensors, and machines—even in complex, heterogeneous environments or with legacy technologies. We use standard protocols and edge systems to collect reliable data, reduce paper usage, and prepare it for analysis.

WHAT WE SOLVE

Widespread use of paper or Excel for data collection
Difficulty connecting heterogeneous machines and systems
Lack of timely and structured data
Errors or delays due to manual transcription

CUSTOMER BENEFITS

Data collected in real time, ready for analysis
Elimination of human error and repetitive tasks
Continuous traceability of operational processes
A solid foundation for analysis, AI, and automation

WHAT WE DO

Analysis and Mapping
We assess existing plants, sensors, and protocols to identify data sources and operational criticalities.
Data Collection Infrastructure Design
We define an edge/hybrid/cloud strategy for continuous data collection, even in legacy or complex environments.
Field Connector Implementation
We develop or configure software connectors for machinery using protocols such as OPC UA, MQTT, Modbus, and REST.
Data Channeling and Standardization
We automate the transmission, normalization, and structuring of data to the cloud for analysis and utilization.

TECHNOLOGIES AND APPROACH

EXPECTED OUTPUT FOR THE CUSTOMER

TECHNOLOGIES AND APPROACH

Custom software gateways on edge systems (Linux- or Windows-based)

Continuous data collection with local buffering (store & forward) to prevent data loss in case of network interruptions

Data channeling via standard industrial protocols (MQTT, OPC UA, etc.)

Cloud-ready integration with Azure IoT Hub, Event Hub, Data Lake, Power Platform, and Microsoft Fabric

Mixed IT/OT scenarios with access profiling, logging, and data governance

EXPECTED OUTPUT FOR THE CUSTOMER

Elimination of manual and paper-based processes

Real-time data availability, accessible via dashboard or API

Full traceability of operational activities

Reducing errors and enhancing the quality of collected data

A solid foundation for advanced analytics, optimization, AI, and automation projects

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