Digital twin edge computing - Real-time logistics optimization

There is a lack of real-time transparency in many logistics and industrial processes: vehicles are parked in the wrong places, stocks are recorded inaccurately or processes are delayed due to a lack of process control.

A digital twin with edge computing provides a remedy here. The decentralized processing of sensor data directly on site enables movements, statuses and processes to be precisely recorded and optimized without having to rely on central cloud servers.

One example of its use is Yard LENSE on Edge, which improves the recording and management of vehicle movements in yard logistics. The solution shows how digital twins with edge computing help to control processes more efficiently and with greater foresight.

Advantages of a digital twin with edge computing

• Real-time monitoring - Detailed recording of physical processes without delays
• Optimized use of resources - Reduction of empty runs, waiting times and inefficient use of space
• Automated data evaluation - Precise analysis of operating processes and patterns
• Decentralized processing on site - No cloud constraints, high speed, maximum data security
• Simulation and forecasting functions - Early detection of bottlenecks and optimization options