Session 11 Systems Engineering II

Friday, 13.11.2020, 13:20-15:30 o'clock

Presentations:


Stefan Pfeifer: Towards a modular product architecture for electric ferries using Model-Based Systems Engineering

13:20-13:40 o'clock

(Paper ID: 1149)

With the reduction of the allowed emission values, the need for fast and emission-free passenger transport is growing - even on coastal or inner city waterways. Many cities and regions are therefore striving to quickly replace their existing conventional diesel ferries with electrically powered passenger ferries. Shipbuilding, however, is characterized by individual applications and corresponding one-off productions.

While the concept of modularization has proven itself in many industries to realize individual products in a short development time, such approaches are hardly found in the maritime industry. In particular, the high degree of dependency between the individual system elements of a ship represents a major challenge in the development of modular ships and ship architectures. This dependencies are further increased in the case of electrically driven high-speed ships, which in the present case are used for passenger transport in urban areas.

This paper presents an approach for identifying reusable and standardized modules in shipbuilding for high-speed vessels using Model-Based Systems Engineering methods. The goal of the approach is to create a multi-domain system model that enables developers to identify use-case spanning standard modules and interfaces.

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Lennart Markus Steinbacher: Development of an Autonomous Light Control Algorithm with a Simulation Model of a Container Terminal

13:20-13:40 o'clock

(Paper ID: 1145)

In the ongoing decade, port logistics in Europe have been exposed to intense competition. Especially container ports experience competition not only for ships but also for supply chains. To adapt to this trend, terminal operators are improving the efficiency in port logistics through, among other things, automation of port operations. Most of these efforts concern processes handling shipped goods. Instead of concentrating on these well-researched improvements, we explored the feasibility and economic potential of an intelligent lighting control system. Often automating handling processes need high investments in hard- and software.

This smart lighting system is supposed to control demand-actuated outdoor lights in a harbour environment. In this research, movement profiles of straddle carriers and infrastructural data were gathered and refined to build a model of the observed container terminal. The modelled infrastructure includes the position of every lighting tower and its illuminant as well as their specific power consumption and the respective area, which those lights illume. To control these lights, we developed a control algorithm. We investigated through simulation experiments the power savings for this autonomous lighting control system. Multiple influential factors of this control concept were evaluated by varying the parameterization of the algorithm. A gathered data set, containing trajectories of operating straddle carriers during full terminal utilization, is the basis for the mentioned experiments.

The results of varying the utilization rate of the terminal have identified a relationship between capacity and percental power consumption, in the form of a root function. The more straddle carriers run, the less the overall power consumption is increasing. Using the intelligent light control system on full utilization saves 14.67% of the total energy. In the case of 80% terminal utilization, 18.22% of total energy is subject for saving effects. Besides these results, we were able to explore the influences of the algorithm parameterization on the energy savings and could assess these solutions economically.

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Andreas Deuter: PLM/ALM Integration with the Asset Administration Shell

14:00-14:20 o'clock

(Paper ID: 1156)

Modern product development utilizes both, PLM and ALM. PLM addresses the hardware lifecycle of a product, whereas ALM addresses the software lifecycle. To realize efficient management of the product lifecycle several concepts of a PLM/ALM integration have been developed in recent years. However, the solutions available in practice are typically vendor-driven. With the so-called Asset Administration Shell (AAS), a standardized digital representation of an asset was recently introduced. The AAS has the potential to integrate PLM/ALM data in a single product model and to provide a general applicable interface of PLM/ALM integration. This article describes how this can be achieved.

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Jingye Yee: Data Science Platform for Smart Diagnosis of Upper Limb Spasticity

14:20-14:40 o'clock

(Paper ID: 1169)

Providing optimal rehabilitation services to the broad public is one of the greatest challenges in the healthcare sector due to the shortage of rehabilitation physicians and facilities. Recent advances in digitalization and sophisticated data analytics offers new innovative ways in delivering rehabilitation services to enhance the quality of life of people with disabilities. Currently, the development of data-driven solutions for rehabilitation in Malaysia is limited due to multiple factors: medical and rehabilitation data is not digitally stored; the knowledge for the interpretation of clinical data is distributed; in particular, there is a lack of expertise in the field of medical data science. Thus, a data science platform is proposed so that medical expertise can be made available through digital services and is not dependent on human resource, location, time or financial ability. This platform is applied for the smart diagnosis of upper limb spasticity in compliance with clinical practice, and extensible for the other smart rehabilitation applications.

By collaborating with the prestigious Fraunhofer Society, their knowhow in industrial data science can be brought to Malaysia towards improved health care in the country. The smart diagnosis system provides advice in classifying the severity level of upper limb spasticity based on the Modified Ashworth Scale and the Modified Tardieu scale. The basis is a measurement system for muscle signal, muscle tone and elbow motion. Users of the smart diagnosis application include rehabilitation physicians, doctors from other specialities, nurses, psychologists, physiotherapists and occupational therapists.

The tools provided by the data science platform is deployed to store and analyze the clinical data. Further, the expertise of a rehabilitation physician is emulated in the form of an expert system to determine the severity level of upper limb spasticity. The digital clinical database helps medical researchers in secondary analysis towards knowledge discovery for the betterment of intervention and treatment of spasticity.

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Christoph Petzoldt: Control architecture for digital twin-based human-machine interaction in a novel robotic container unloading system  

14:40-15:00 o'clock

(Paper ID: 1114)

To facilitate physically exhausting tasks, semi-autonomous systems are introduced at manual industrial workplaces. This changes the role of the operator from a manual worker to a supervisor and intervener in case of problems. New human-machine interaction strategies providing operators with the means to solve problems are required to enable this role change seamlessly. For this purpose, we propose a novel control architecture based on a digital twin, present a newly developed semi-autonomous system for the industrial sector of container unloading, and apply the presented control architecture hereupon. Besides, a morphology for classification of unloading systems is proposed.

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