Research

Daniel Schilling,

Data in the right place at the right time

Automated services and the increasing servitization of business models in intralogistics require a multi-layered flow of data and information between all players involved. In order to utilize this digital data stream in a targeted and beneficial way, suitable digital images are required.

Autonomous removal of components from a smart load carrier. The robot has access to all relevant geometry and metadata via the "Reference Architecture for Industrial Indoor Localization" (RAIL). © IFPT

When we look at intralogistics, we usually consider logistics processes that are located outside of a deterministic line production process, but which often have to deliver their services closely linked to it in terms of time. The automated fulfillment of this "intralogistics service" is the sum of processes - decoupled in terms of time and space - performed by a number of players. It requires a high degree of coordination. A complete, up-to-date and shared digital database is essential for this. This is the only way to answer questions such as: Which component is where and when? Where should the automated guided vehicle system (AGV) go and via which route? What is the status of a delivery order?

In the Industrial Indoor Localization (IIL) project, the IFPT is researching an open environment model for the automation of intralogistics and production. A common, constantly updated model should enable data consistency and up-to-dateness right up to the mobile edge area. The mapped data includes live geometry and localization information of different quality and accuracy classes as well as meta information from ERP systems. As a backend and infrastructure, the "Reference Architecture for Industrial Indoor Localization" (RAIL) relies on interaction with other systems that share their current perception of the environment. These perceptions must be generated and connected for each digital service and the utilizing actors; actors must be made smart.

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Smart load carriers

Production-related environments with hybrid - i.e. manual and automated - interactions place particular demands on the implementation of end-to-end digitalization. Smart mesh trolleys, such as those being developed at the IFPT as part of the DEPOT project, are able to support such processes. They detect their load using various technologies such as barcodes or RFID tags and can identify objects optically using AI vision boards. By comparing the load with the digital model, manual processes are linked to the digital model. This model can be used to assist other activities and in other services. This means that smart mesh trolleys can mediate bidirectionally between the digital and analog worlds: Trigger events on mobile devices, serve as an interface for services or act as an output device and sensor; for example, personalized pick-by-light for several people.

RAIL enables data consistency between all players in a networked and digitalized intralogistics system. © IFPT

If a correct target load status is determined for a load carrier, a pick-up order for an AGV can be generated automatically. Fleet management can access the environment model and - based on the positions and meta-information of the load carrier and available AGVs - place the order with the most suitable AGV. As soon as the load carrier has arrived at its destination, automated or manual follow-up processes can be triggered.

The robot-assisted removal of components from a manually picked load carrier (see Figure 1) demonstrates the strengths of a shared database. Once a suitable robot platform has been selected, it must be transported to the correct load carrier. The robot can find out from the shared model where to pick the part; the AI vision board has provided the necessary geometric data. Once the component has been gripped, it can be transferred to subsequent processes - without any loss of information.

Mapping an end-to-end digital process chain with open, standardized systems enables flexible automation in intralogistics. With shared information and collective digital perception, it helps to overcome hurdles that arise from the often highly dynamic environments in which people and machines operate together. Step by step - autonomously and collaboratively with humans - a range of innovative services in intralogistics are made possible.

Daniel Schoepflin, M.Sc., Arne Wendt, M.Sc., Univ.-Prof. Dr.-Ing. Thorsten Schüppstuhl

Briefly explained: The IFPT

At the Institute of Aircraft Production Technology (IFPT) at TU Hamburg, more than 20 employees from the disciplines of mechanical engineering, electrical engineering and mechatronics are currently conducting research on a wide range of automation and digitalization projects, primarily in the aviation sector. These range from production and assembly automation to intelligent logistics solutions and high-precision inspection systems with new sensor technology. Institute Director Prof. Dr.-Ing. Thorsten Schüppstuhl is a board member of MHI e.V. http://www.ifpt-tuhh.de

Briefly explained: The MHI e.V.

The Wissenschaftliche Gesellschaft für Montage, Handhabung und Industrierobotik e.V. (MHI e.V.) is a network of renowned university professors - institute directors and chair holders - from German-speaking countries. The members conduct both fundamental and application-oriented research on a wide range of current topics in the fields of assembly, handling and industrial robotics. Further information on the society, its members and activities: http://www.wgmhi.de

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