Smart and secure data gateway

Sensoblock Bogie Intelligence

An industrial gateway for acquiring temperature and vibration data from railway bogies, with local filtering and processing before the relevant information reaches the server running on-premise AI.

View data flow How it works

Edge local filtering and processing

Secure data gateway for industrial environments

Local AI interpretation on the customer's server

Product

Sensoblock turns raw data into useful signals

Installed close to the data source, Sensoblock collects sensor signals, applies local filtering and processing, then forwards clean, consistent data ready for analysis.

In bogie monitoring applications, each module becomes a smart acquisition node: it reads temperature and vibration sensors, validates the signal, reduces noise and delivers structured data to the server for interpretation.

Multi-sensor acquisition

Inputs for critical temperature and vibration points on the bogie.

Edge filtering

Data is cleaned locally to reduce noise and unnecessary traffic.

Secure processing

The gateway controls the flow between rolling stock and the server.

Local AI integration

The server interprets trends, anomalies and relevant events.

Railway application

Dedicated monitoring for bogies

Temperature measurement at bearing areas and vibration measurement on the main bogie frame.

Monitored signals

Temperature in critical assembly areas
Vibration on the bogie structure
Signal quality and acquisition node status

Data flow

From measurement to interpretation

Bogie sensors

Temperature and vibration are measured at relevant points of the assembly.

Sensoblock gateway

Acquisition, validation, filtering, processing and securing of data at the edge.

Local server

Processed data is stored and made available to the analytics engine.

Local AI

Models run in the customer's infrastructure and interpret bogie behavior.

Local intelligence

Data stays local, interpretation becomes intelligent

Local AI analyzes signals that have already been filtered and processed: it detects abnormal evolution, correlates temperature with vibration and can support alarms, reports or maintenance plans.

Anomaly detection deviations from normal bogie behavior

Operational trends slow temperature and vibration evolution over time

Local reporting interpretation without sending raw data to the cloud

Technical proposal

Sensoblock Bogie Intelligence

A clear architecture for secure data acquisition from railway bogies and interpretation with local AI in the customer's infrastructure.

Technical contact