OT
Also: Operational Technology, Operative Technik, OT-Systeme, Industrielle Steuerungstechnik, ICS
AI-generated
OT (Operational Technology) refers to hardware and software that directly controls and monitors physical processes in facilities, machinery, and conveyor systems. In warehouse environments, this includes controls for conveyor belts, sorters, storage and retrieval machines, and automated storage systems.
Key facts
- OT directly controls and monitors physical processes in warehouse facilities – from conveyor systems to storage and retrieval machines.
- OT systems were historically developed for closed environments and have specific cybersecurity requirements when connected to networks.
- The convergence of OT and IT enables remote monitoring and predictive maintenance, but also creates new attack vectors.
- OT components typically have significantly longer lifecycles than traditional IT hardware, making maintainability and patch management a considerable challenge.
What is Operational Technology?
Operational Technology – or OT for short – is the umbrella term for all systems that directly influence physical processes within a facility: programmable logic controllers (PLCs), SCADA systems, industrial control computers, and the associated sensors and actuators. Unlike traditional IT, which processes and transmits data, OT intervenes directly in machines and processes – meaning a fault can have immediate physical consequences: a halted conveyor line, an incorrectly sorted shipment, or in the worst case, a safety risk for employees.
In intralogistics environments, OT controls automated small-parts warehouses, storage and retrieval machines, sorters, conveyor belts, palletizing robots, and automated guided vehicles, among other systems. The protocols and bus systems used (such as Profibus, EtherNet/IP, or OPC UA) are often decades-old, proprietary standards that were originally designed without network connectivity.
OT in Practice: Operation and Integration
In warehouse operations, OT typically operates within its own network zone, physically or logically separated from the corporate IT environment. The warehouse management system (WMS) communicates with the material flow control system (MFC) via defined interfaces, which in turn addresses the OT layer. This layered architecture protects time-critical control processes from fluctuations in the general IT network.
However, as connectivity increases – driven by the Industrial Internet of Things (IIoT) – OT devices are being more closely integrated with higher-level systems. This enables remote monitoring, predictive maintenance, and data-driven optimization, but simultaneously expands the attack surface for cyber threats. The convergence of OT and IT is therefore one of the central topics in warehouse planning and the operation of automated facilities.
Key Considerations for OT Decisions
When planning and selecting OT components, you should consider the following points:
- Lifecycle and updateability: OT systems often have operational lifespans of 15 to 20 years. Choose components for which the manufacturer guarantees long-term security patches and spare parts.
- Network segmentation: A clear separation between the OT and IT networks reduces the risk of a compromised office laptop affecting conveyor technology.
- Standardized protocols: OPC UA has established itself as a cross-vendor standard for vertical integration, but is not available in all existing installations – check compatibility early in the process.
- Maintenance and remote access: Clear processes for remote access by service technicians are essential, but must be secured through access controls and logging.
- IT/OT responsibilities: In practice, responsibilities between intralogistics, IT, and external system suppliers are often undefined – this should be clarified contractually and organizationally before go-live.
Related terms
- AGV
AGV (Automated Guided Vehicle) refers to driverless transport vehicles that automatically move goods in warehouses and production environments. They follow predefined or sensor-controlled routes without a human driver.
- AI
Artificial Intelligence (AI) refers to systems that learn from data, recognize patterns, and on this basis support or automate decisions.
- AMR
AMR (Autonomous Mobile Robot) is a driverless, self-navigating transport robot that moves goods within a warehouse without any fixed installed infrastructure. It orientates itself independently using sensors and digital maps, and dynamically avoids obstacles.
- API
An API (Application Programming Interface) is a defined interface through which two software systems can exchange data in an automated and standardized way. In intralogistics, it connects systems such as WMS, ERP, or TMS with one another and with external services.
- Aktuator
An actuator is a technical component that converts electrical, pneumatic, or hydraulic control signals into mechanical movement or force. In intralogistics, actuators control conveyor belts, diverters, grippers, and lifting elements in automated systems.
- AutoStore
AutoStore is a cube-based automated storage system in which driverless robots traverse an aluminum grid to stack plastic bins and retrieve them on demand for delivery to picking ports. The system is considered one of the most space-efficient automated small-parts warehouses available for standardized bin-compatible goods.
- Automatisches Kleinteilelager (AKL)
The Automated Small Parts Warehouse (AKL) is a fully automated storage system for totes, trays and small parts, in which storage and retrieval operations are performed without manual intervention by stacker cranes or shuttle systems.
- Automatisierung
Automation refers to the use of technologies and systems to execute processes fully or partially without human intervention. In intralogistics, the spectrum ranges from simple conveyor systems to fully automated high-bay warehouses with autonomous vehicles.
- BDE-System
A BDE system (operational data collection system) captures machine and manual process data in real time directly at the source – such as at machines, conveyor systems, or workstations.
- Digital Warehouse
Digital Warehouse refers to a warehouse in which processes, systems and decisions are consistently data-driven and system-guided. Typical building blocks include a warehouse management system, real-time visibility, IoT sensors, mobile data capture and automated optimization logic.