Decentralised Automation Solutions for Intralogistics Systems

At LogiMAT 2026 (March 24 - 26), Murrelektronik presents a portfolio of decentralised automation solutions designed to address increasing complexity in intralogistics systems. The technologies focus on modular architectures, simplified installation, and seamless connectivity, supporting both new machine designs and retrofitting of existing infrastructure.

Shift Toward Decentralised Intralogistics Systems
Intralogistics environments are evolving toward distributed automation architectures that reduce reliance on central control cabinets. These systems enable flexible scaling, faster deployment, and improved system resilience.

The growing adoption of robotics and automated handling systems further increases the need for simplified integration and reliable communication across distributed components.

Integrated Decentralised Automation Platform
Murrelektronik’s Vario-X system supports this transition by integrating sensors, actuators, and control components into a unified architecture. The platform connects field-level devices directly to higher-level systems, including cloud environments, using standard industrial communication protocols.

By eliminating extensive point-to-point wiring, decentralised systems reduce installation effort and enable more efficient system expansion within a digital supply chain.

Digital Assistance for Installation and Commissioning
To address installation complexity and workforce constraints, the uKonn-X solution provides guided setup through a structured, step-by-step process. This digital assistance reduces configuration errors and supports faster commissioning of automation systems.

Such tools are increasingly important in environments where system configurations are complex and skilled labor availability is limited.

Digital Twin for Planning and Deployment
Murrelektronik incorporates digital twin technology to simulate system configurations before physical deployment. This approach improves planning accuracy and reduces commissioning risks.

In practice, the use of digital twins can shorten commissioning times by up to 70%, enabling faster system startup and reduced downtime during implementation.

Industrial Wireless for Dynamic Applications
For moving and highly dynamic applications, the Xelity Wave Pro system provides wireless communication without switching delays or packet loss. It supports industrial protocols such as PROFINET, EtherNet/IP, and safety-related communication standards.

Reliable wireless connectivity is critical in applications involving mobile equipment, where physical cabling can limit flexibility and increase maintenance requirements.

Scalable I/O and Modular Connectivity
The pure.IO solution expands IO-Link capabilities with a compact and scalable architecture. It supports daisy-chain topologies and multi-protocol communication, enabling up to 256 I/O points to be managed through a single master.

Additional components, such as the MVK Fusion module, combine standard and safety-related I/O with IO-Link integration, simplifying system design and reducing hardware complexity.

Simplified Installation and Power Distribution
Solutions such as MQ15 connectors enable rapid and secure connection of motors and drives up to 7.5 kW. The quick-connect system can reduce installation time by up to 80%, while maintaining IP67-rated protection for industrial environments.

Pre-configured installation packages, such as One-Cam-Connect for machine vision applications, further streamline deployment by reducing setup complexity.

Relevance for Modern Intralogistics
The solutions presented reflect broader trends toward modular, data-driven automation systems in intralogistics. By combining decentralised architectures, digital tools, and scalable connectivity, manufacturers can improve system flexibility and reduce implementation time.

These capabilities support the development of adaptive intralogistics environments, where automation systems can be reconfigured and expanded in response to changing operational demands.

Edited by Romila DSilva, Induportals Editor, with AI assistance.