OT Layer
The foundation of every IoT solution: reliably capturing, preprocessing, and transmitting data – directly at the machine.
Data Acquisition
Sensors, gateways, and edge devices ensure reliable capture of machine data – whether temperature, vibration, energy consumption, or flow.
Data Preprocessing (Edge)
Data is filtered, aggregated, and prepared directly at the source. This reduces data volumes and enables real-time reactions on site.
Data Transmission
From sensor to cloud: protocols like MQTT, OPC UA, or AMQP ensure efficient and secure data transmission.
Interoperability
Bringing heterogeneous systems and data sources to unified standards – a prerequisite for cross-system analysis and seamless integration.
Data Standardization – Communication
Unified communication protocols and interfaces ensure that different systems and devices can communicate seamlessly with each other.
Data Standardization – Product Standards
Industry-specific data models and product standards enable cross-manufacturer interoperability and end-to-end data flows.
Platform & Infrastructure
The central hub: IoT platforms, IT/OT integration, device management, and data security form the backbone of scalable solutions.
IoT Platform
The central platform connects devices, stores data, and provides services – as the foundation for all further applications and analytics.
IT/OT Integration
The bridge between information technology and operational technology: production data is seamlessly integrated into IT systems like ERP or MES.
Device Management
Firmware updates, configuration, and monitoring – device management ensures all connected devices remain secure and up to date.
Data Security
Encryption, access controls, and security monitoring protect sensitive production and machine data from unauthorized access.
Data Utilization
Turning data into insights: visualization, analysis, AI models, and specialized apps transform raw data into real value.
Data Visualization
Dashboards and reports make complex data understandable – for machine operators as well as for management.
Data Analysis & Evaluation
Statistical methods and business intelligence uncover patterns, trends, and optimization potential in your production data.
AI-based IoT Analysis
Machine learning and deep learning detect anomalies, predict failures, and optimize processes – automated and in real time.
Use Case Apps
Specialized applications bundle data, analytics, and workflows into turnkey solutions for specific use cases like predictive maintenance.
Services
Consulting, engineering, and operations – experienced IoT experts support you from conception to ongoing operation of your solution.
IoT Engineering & Services
From conception through implementation to operations – experienced IoT engineers and consultants support you in every project phase.
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