
End-to-end automation and digitalisation in intralogistics is considered a decisive competitive advantage. Under the motto „Intelligent intralogistics - experience the flow“, Siemens is presenting the holistic digital twin of a real logistics centre at this year's Logimat.
The logistics and intralogistics industry finds itself in a rapidly changing and challenging environment: increasing demand for energy efficiency and sustainability, labour shortages and cyber security threats are just some of these challenges. With a extensive automation and digitalisation portfolio along the entire value chain, especially for the intralogistics sector Siemens supports machine builders and operators of logistics centres in overcoming these challenges.
Digitalisation and automation solutions from the Siemens Digital Enterprise portfolio as well as IoT-enabled hardware and software from the Siemens Xcelerator portfolio cover all areas of warehouse operations such as incoming goods, transport, storage, order picking, packing and despatch. Fully automated material flow systems make it possible to speed up warehouse operations, optimise processes, reduce costs and errors and ultimately achieve higher throughput.
This will be demonstrated in concrete terms at the trade fair using the digital twin of Siemens' own logistics centre in Nuremberg. With 12,000 orders per day, 22,000 delivery note items, 27 storage and retrieval machines and three kilometres of automated conveyor belts, the distribution centre serves 25,000 customers worldwide. Customers can find out more about this real-life example at the trade fair, how simulation scenarios help to optimise shift planning, for example, in order to achieve maximum productivity.
It will also show how Digital Twins help to identify bottlenecks and peak loads in order to optimise the material flow and how this can maintain the throughput and overall performance of the warehouse and thus the fulfilment rate of almost 100 percent. The seamless interaction between the real and digital worlds increases the productivity and flexibility of the systems, sustainably reduces costs and energy consumption and therefore also CO2-footprint.
AI-based autonomous order picking with robots
The Siemens intralogistics portfolio is now complemented by Simatic Robot Pick AI, a machine vision software for robot solutions based on machine learning, which Siemens will also be presenting at Logimat. The 3D image processing software enables robots to pick any item in warehouse picking tasks, regardless of its shape and size. A pre-trained deep learning algorithm controls this ability to identify the most suitable 3D positions for removal and make them available for robot execution. Reliable picking poses are calculated in the shortest possible time, enabling high-throughput systems without collisions in the box. No additional CAD-based training is required.
The application is designed in such a way that it can perform calculations in under 1.5 seconds on the computing power of a tablet-like IPC and This enables system pick rates of over 1,000 picks per hour. The average error rate is less than two per cent, which corresponds to the error rate of a human performing this task.
In the future, AI-controlled picking robots will be able to contribute to the flexibility required to process a wide variety of objects with different shapes, sizes and packaging types in dynamically changing situations in a timely manner. The effects of the labour shortage can thus be cushioned and at the same time increase operational efficiency in the warehouses.
Simatic Robot Pick AI offers Seamless integration into the TIA Portal automation platform. The Simatic Robot Library can also be used to establish standardised communication between robot and PLC systems.
Source: Siemens
Siemens at the LogiMAT 2023: Hall 3, Stand D11
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