Industrial IoT
Machine Data, Sensors,
Real-time Decisions —
the Smart Factory Platform.
Collecting, processing, and visualizing data from existing machines and equipment — with IoT sensor networks, OPC-UA data collection, and edge computing, vendor-independently.
Solutions
The Smart Factory's Full Technology Stack
From sensor to dashboard — every layer in an integrated platform.
Industrial Sensor Networks
Vibration, temperature, pressure, flow, and energy metering sensors fitted to existing machines — retrofit approach, without production downtime. Industrial-grade devices, IP67-rated.
OPC-UA Data Collection
Machine data aggregation via standard OPC-UA interfaces — vendor-independent, encrypted, real-time data streams. Compatible with Siemens, Beckhoff, B&R, Fanuc, and other PLC/CNC systems.
Edge Computing
Edge data processing on the shop floor — low latency, offline capability, and local analytics. Primary data processing happens on-site, without cloud dependency.
Production Dashboard
Real-time OEE, machine status, and production KPI visualization on a customizable web dashboard. Mobile-friendly, shift-based views, automatic report generation.
Alerting & Anomaly Detection
Automatic alerts for machine stoppages, quality deviations, or energy waste — via SMS, email, and Microsoft Teams. AI-based anomaly detection alongside rule-based alerts.
Cloud & Hybrid Architecture
Azure IoT Hub-based cloud data storage and long-term analytics — local data security and cloud scalability simultaneously. GDPR-compliant data handling, encrypted data transfer.
Implementation
From Factory Assessment to Running System
Four steps — with minimal production disruption.
1
Factory Assessment & Data Map
Mapping machines, protocols, network topology, and data flows — based on existing documentation and on-site walkthrough.
2
Sensor & Gateway Installation
IoT sensors, industrial gateways, and network devices installed — scheduled, minimizing production downtime.
3
Platform Configuration & Dashboard
Data model setup, KPI configuration, custom dashboard development, and alerting rules configured to the team's needs.
4
Continuous Optimization
Regular reports, KPI fine-tuning, new use-case rollout, and predictive model development based on accumulated data.
Technology Stack
Open Protocols, Reliable Platform
OPC-UAMQTTAzure IoT HubNode-REDInfluxDBGrafanaModbus TCP/RTUREST APIEdge gatewayGDPR compliant
Make Your Factory's Data Visible
Free factory assessment — we'll show what data can be extracted from existing machines and how to put it to work.