http://dl.gi.de/handle/20.500.12116/39388 2026-07-21T13:38:44Z 2026-07-21T13:38:44Z Schwark, Fenja Garmatter, Henriette Davila, Maria Dawel, Lisa Pehlken, Alexandra Cyris, Fabian Scharf, Roland http://dl.gi.de/handle/20.500.12116/39413 2022-09-19T09:20:54Z 2022-01-01T00:00:00Z

The application of image recognition methods to improve the performance of waste-to-energy plantsplants Schwark, Fenja; Garmatter, Henriette; Davila, Maria; Dawel, Lisa; Pehlken, Alexandra; Cyris, Fabian; Scharf, Roland Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, Maximilian In this paper, we present an image recognition method to improve the performance of waste-to-energy plants. Thermal treatment of waste in waste-to-energy plants is central for the treatment of municipal solid waste. The heterogeneous nature of municipal solid waste results in a fluctuating lower calorific value to which plant operation must be adapted. Compensating for drastic changes in the lower calorific value is challenging for plant operation and can require short-term interventions. Estimating the lower calorific value prior to the combustion process should reduce the number of short-term interventions. In this work, we propose a process-engineering approach to estimate the lower calorific value of waste as a new application of image recognition in waste-to-energy plants. The method is implemented using videos and sensor data from a case study in a real waste-to-energy plant in Germany.

2022-01-01T00:00:00Z Witte, Jan-Hendrik Gerberding, Johann Lensches, Clara Traulsen, Imke http://dl.gi.de/handle/20.500.12116/39412 2022-09-19T09:20:54Z 2022-01-01T00:00:00Z

Using Deep Learning for automated birth detection during farrowing Witte, Jan-Hendrik; Gerberding, Johann; Lensches, Clara; Traulsen, Imke Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, Maximilian Pig livestock farming has been undergoing major structural change for years. The number of animals per farm is constantly increasing, while competition is becoming more intense due to volatile slaughter prices. Sustainable, welfare-oriented livestock farming becomes increasingly difficult under these conditions. Studies have shown that animal-specific birth monitoring of sows can significantly reduce piglet losses. However, continuous monitoring by human staff is inconceivable, which is why systems need to be created that assist farmers in these tasks. For this reason, this paper aims to introduce the first step towards an automated birth monitoring system. The goal is to use deep learning methods from the field of computer vision to enable the detection of individual piglet births based on image data. This information can be used to develop systems that detect the beginning of a birth process, measure the duration of piglet births, and determine the time intervals between piglet births.

2022-01-01T00:00:00Z Hilbring, Désirée Becker, Kevin Markus Emde, Katharina van der Schaaf, Hylke Spandl, Horst Tauber, Martina http://dl.gi.de/handle/20.500.12116/39411 2022-09-19T09:20:53Z 2022-01-01T00:00:00Z

OData - Usage of a REST Based API Standard in Web based Environmental Information Systems Hilbring, Désirée; Becker, Kevin; Markus; Emde, Katharina; van der Schaaf, Hylke; Spandl, Horst; Tauber, Martina Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, Maximilian Environmental information in existing custom-build environmental information systems is manifold. Sharing this information via Web APIs for diverse client types to fulfil the needs of ongoing digitisation efforts is still a challenge. This paper analyses the open standard OData (Open Data Protocol) as a possible communication protocol between independent servers and clients. Of interest is also the question, if the protocol is not only capable of sharing environmental data between independent systems but also if the information provided via OData is sufficient for directly creating a web-based end user client. The developed prototypical implementation is tested in two environmental applications from different domains: a small data overview for decision makers and the integration of information in an environmental platform.

2022-01-01T00:00:00Z Schering, Johannes Gómez, Jorge Marx http://dl.gi.de/handle/20.500.12116/39410 2022-09-19T09:20:52Z 2022-01-01T00:00:00Z

BITS: A Key Performance Indicators (KPIs) supported approach to assess traffic safety for cyclists at intersections in the Netherlands Schering, Johannes; Gómez, Jorge Marx Wohlgemuth, Volker; Naumann, Stefan; Arndt, Hans-Knud; Behrens, Grit; Höb, Maximilian Traffic safety is an important factor in the decision process whether people decide to use the bicycle or not. Critical situations that do not lead to an accident are often not reported to the police. To fill this knowledge gap, several regions as the city of Zwolle and the Province of Friesland (Netherlands) have started to detect near accidents at intersections among vehicles and bicycles by 3D camera data to evaluate traffic safety. Four intersections in Friesland and Zwolle were monitored. Different types of intersections (e.g. shared space concept) were considered. Near accidents can be divided into different conflict categories depending on vehicle speed and time to collision (Post-Encroachment Time PET). The preprocessed data including Key Performance Indicators (KPIs) to make cycling safety at the intersections measurable and comparable are provided. Based on the numbers and visualizations, it will be discussed which of the discussed intersections show critical profiles regarding numbers of near accidents, distribution and amount of very critical situations. With the results the intersections can be adjusted to increase traffic safety.Encroachment Time PET). The pre-processed data including relevant Key Performance Indicators (KPIs) to make cycling safety at the intersections measurable and comparable are provided. Based on the numbers and visualizations, it will be discussed which of the dis-cussed intersections show critical profiles regarding the total numbers of near accidents, its distribution and the amount of very critical situations. Based on the results the intersections can be adjusted to increase the safety situation in a city.

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