Research Based Learning - Smart Sensing Applications (RBL)
Lecturer: Ulf Kulau Yannick Loeck
Lecture / RBL: Mondays 8:00 - 11:00 in Room A - 3.35
Kick-Off: (TBD) Monday 14.10.2024 8:00 in Room A - 3.35 StudIP-Link: RBL in StudIP
Module:
- Master "Microelectronics and Microsystems (IMPMM)": Vertiefung Embedded Systems (6LP)
- All other majors can also take the course as a "Technischer Ergänzungskurs"
Language
In Winter Term 2024, the course will be held in englisch (likely)
Registration
Anmeldeverfahren / Registration:
- Registration for the course is only possible via StudIP
- The event is limited to a maximum of 20 places.
- Registration is possible in StudIP in the following period: 25.09.2024, 12:00 to 07.10.2024, 12:00
- The course has compulsory attendance, if you can foresee not being able to attend in presence, please refrain from registering.
General Motivation
When it comes to the terms sensors and research, you have to look very closely at what it is all about in the end. From the Smart Sensors department, research focuses on the sensor systems themselves, while at the same time sensors are an important component in various multidisciplinary research activities.
As a result, we as researching engineers have a dual function. On the one hand, we have to continuously improve the technical aspects of sensor systems and explore new methods; on the other hand, we have to consider our technical solutions to the needs, specifications and requirements for other research fields.
In this Research-Based-Learning course, motivated by an application, the relevant aspects in interdisciplinary sensor research will be taught. For this purpose, a close cooperation with another university is envisaged, which acts as a "stake-holder" for a superordinate research question, while we learn how to enable and cleanly document the technical basis for the preparation of interdisciplinary research.
Winter Term 2024 Topic: Facing Climate Change with remote sensing
Remote sensing offers a new way of observing the Earth’s climate system with continuous and high-resolution spatial coverage through satellite-based, aircraft-based, or drone-based sensor technologies. This can significantly improve our understanding of climate change and its potential impacts at global, regional, and local scales. The data collected with remote sensing technologies can also be used to validate our climate models, improve our knowledge of the physical and dynamical processes of the climate system, and help us to project future climate change and its impacts with minimized uncertainties. This Challenge aims to plan a mission for a small satellite that is actually capable of flight that is built in one of the TUHH's Bachelor's programme. In this Challenge, addressing Master students, we will focus on: which Big Question could be answered applying an UV-sensor to the satellite? What needs to be considered once the satellite is in space?
Work-Schedule and Technical Aspects
In this course, together with ECIU students, we will develop co-concepts for payloads for small satellites. These payloads should help to contribute to research in the field of climate change through remote sensing.
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Initially, this will be done in general terms in order to better approach the topic as a whole. The limitations, especially with small satellites, will play a role here (size, weight, power, data rates, contact times, resolutions, etc.).
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The implementation and hands-on experiments will then become more concrete. The satellite platform that we are currently targeting as part of the EduSat project serves as a starting point.
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A small payload prototype is to be built, which takes the STM32H7 micro controller of the EduSat OBC as a basis. Multi-spectral sensors and a thermal imaging sensor are to be integrated into the DevBoard of the OBC hardware. These sensors are to be used in our own experiments, for example, to experimentally experience and implement scenarios for monitoring plant conditions (drought stress, florescence, etc.).
During the course, we will remain on a conceptual level and want to better understand the technical aspects through hands-on experiments.
Literature and Further Reading
- Remote Sensing
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Mercury Learning and Information20249781501522840.
doi:10.1515/9781501522840 [BibTex]
- Mechatronik: Grundlagen und Anwendungen technischer Systeme
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Springer2015.
[BibTex]
- Taschenbuch der Messtechnik
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Carl Hanser Verlag GmbH Co KG2015.
[BibTex]
- Smart sensors and systems
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Springer2017.
[BibTex]
Evaluation
After semester the evaluation results will be published here.