Auflistung P328 - EnviroInfo 2022 nach Erscheinungsdatum
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- KonferenzbeitragOData - Usage of a REST Based API Standard in Web based Environmental Information Systems(EnviroInfo 2022, 2022) Hilbring, Désirée; Becker, Kevin; Markus; Emde, Katharina; van der Schaaf, Hylke; Spandl, Horst; Tauber, MartinaEnvironmental 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.
- KonferenzbeitragImproving Data Quality of Programme of Measures for the Water Framework Directive in Saxony(EnviroInfo 2022, 2022) Hosenfeld, Friedhelm; Dimmer, Roland; Mattes, ChristophA web application is presented to support the responsible authorities in the management of measures for the WFD (Water Framework Directive) in Saxony. The web application enables the maintenance of WFD measures data by different authorities in a common database. The central data management supports the tasks of implementing the WFD of the LfULG for the fulfilment of the EU reporting obligations. A key requirement deals with the improvement of data quality implemented by comprehensive consistency and completeness checks, input rules and support functions for geometry creation. The spatial data are verified for consistency with the attribute data during data acquisition.
- KonferenzbeitragLiving lab research project "5G Smart Country" - Use of 5G technology in precision agriculture exemplified by site-specific fertilization(EnviroInfo 2022, 2022) Bhatti, Moid Riaz; Akyol, Ali; Rosigkeit, Henrik; Matzke, Linda; Grabenhorst, Isabel; Gómez, Jorge MarxThe research project "5G Smart Country" aims at developing ideas for the development and testing of 5G applications for agriculture and forestry under real conditions. Agricultural and forestry data are collected from a wide variety of sources, such as satellites, drones, and robots with special sensors. Artificial intelligence (AI) and data analytics algorithms help make the required decisions, particularly for automatic differentiation between crops and weeds for mechanical weed control, demand-driven fertilization (variable rate application, VRA)—also by means of small-scale application (pointed fertilizing)—automated tracking of wildlife populations, real-time assessment of harvest (smart harvesting), forest inventory maintenance, and targeted logging. Here we present a system architecture and software model for digital crop management and show how multispectral analysis is used to develop vegetation indices to conduct VRA.
- KonferenzbeitragInformation Disclosure in VPP - Information Disclosure by Decentralized Coordination in Virtual Power Plants and District Energy Systems(EnviroInfo 2022, 2022) Bremer, Jörg; Lehnhoff, SebastianGrouping small, hardly predictable, and volatile energy resources to jointly operating virtual power plants with sufficient flexibility for coordination is widely seen as a key aspect of integrating renewable energy into the grid. For several reasons, self-organizing, agent-based systems are probably the best technology for coordination. A major drawback of many currently existing solutions is the necessity to communicate plain information for negotiation and optimization. Such information contains e.g. possible energy generation schemes or aggregated costs. Previous works have already shown that identification of anonymously sent information is possible. In this paper, we demonstrate the possibility of disaggregating cost structure information as an example of possible leakage of business information in the case of participation in virtual power plants or district energysystems. From this perspective, we derive measures to ensure privacy preservation in decentralized coordination algorithms
- KonferenzbeitragTransient numerical simulation for optimization of a water-cooled high-performance computing center with dynamic cooling circuit temperatures – Work-in-progress(EnviroInfo 2022, 2022) Bayer, Nils; Kerskes, Henner; Stergiaropoulos, KonstantinosDue to the high consumption of electrical energy, data center operators are increasingly aiming for a data center that is as energy-optimized and efficient as possible. The cooling system has a crucial role here. In this context, an innovative control strategy with dynamic cooling circuit temperatures will be investigated. For this purpose, a detailed numerical simulation model of an existing water-cooled HPC data center cooling system was developed. The model was validated using real operating data. It includes the complete heat flow from the rack cooling distribution units to the cooling towers and the district cooling supply. The model can correctly simulate the thermal behavior in detail and is the basis for further investigations and optimization in terms of various criteria like energy or cost efficiency. The modeling and validation approach is presented in this paper.
- KonferenzbeitragRelation Extraction from Environmental Law Text Using Natural Language Understanding(EnviroInfo 2022, 2022) Thimm, Heiko; Schneider, PhilIn the last decades the highly active area of environmental legislation has produced a vast amount of text documents that contain laws and regulations enacted by various types of rule setters. This large body of legal text documents is still growing with an increasing speed. In order to assure compliance with the regulations, today, corporate specialist spend a lot of time with the reviewing and assessment of these documents. It seems that through the use of text processing assistance tools these important corporate environmental compliance management tasks can be completed in less time. To develop corresponding assistance tools has been the broader goal of this work in which initial text processing experiments with a common Natural Language Understanding pipeline are described. The obtained results confirm that in order to extract meaningful relations from text documents of the environmental legislation area, domain-specific processing techniques that are tailored to the specific language and format of legal text are required.
- KonferenzbeitragOptimization paper production through digitalization by developing an assistance system for machine operators including quality forecast: a concept(EnviroInfo 2022, 2022) Schroth, Moritz; Hake, Felix; Merker, Konstantin; Becher, Alexander; Klaeger, Tilman; Huesmann, Robin; Eichhorn, Detlef; Oehm, LukasNowadays cross-industry ranging challenges include the reduction of greenhouse gas emission and enabling a circular economy. However, the production of paper from waste paper is still a highly resource intensive task, especially in terms of energy consumption. While paper machines produce a lot of data, we have identified a lack of utilization of it and implement a concept using an operator assistance system and state-of-the-art machine learning techniques, e.g., classification, forecasting and alarm flood handling algorithms, to support daily operator tasks. Our main objective is to provide situation-specific knowledge to machine operators utilizing available data. We expect this will result in better adjusted parameters and therefore a lower footprint of the paper machines. emission and enabling a circular economy. However, the production of paper from waste paper is still a highly resource intensive task, especially in terms of energy consumption. While paper machines produce a lot of data, we have identified a lack of utilization of it and implement a concept using an operator assistance system and state-of-the-art machine learning techniques, e.g., classification, forecasting and alarm flood handling algorithms, to support daily operator tasks. Our main objective is to provide situation-specific knowledge to machine operators utilizing available data. We expect this will result in better adjusted parameters and therefore a lower footprint of the
- KonferenzbeitragConception and test of a measuring station for the analysisof the resource and energy consumption of material floworiented environmental management information systems (EMIS)(EnviroInfo 2022, 2022) Junger, Dennis; Wohlgemuth, Volker; Kammer, EikeThe aim of this work is to design a measurement setting that enables the analysis of the resource and energy consumption of material flow oriented corporate environmental information systems (BUIS). For this purpose, the focus is put on the Life Cycle Assessment (LCA) software. LCA software supports LCA mainly in Life Cycle Inventory (LCI) and in Life Cycle Impact Analysis (LCIA). For the impact assessments, through which potential impacts on the environment are calculated, the LCA software requires many substance-specific life cycle impact data sets, which are stored in databases. In this work, we mainly refer to LCA software that runs in the form of desktop applications. In order to create a measurement configuration suitable for LCA software, the software to be tested and the necessary methodology for desktop solutions are searched. The found solution for sustainable evaluation of software products is adapted to the goal of comparing the efficiency LCA software. The determined measurement standard will be applied, modified and extended. The measurement configuration will be built and tested. Problems of a theoretical nature and problems in setting up the tests are addressed. Any problems of the comparability basis that may arise when performing tests on the selected LCA in the software in the future will be addressed, and a possible solution path will be shown. An outlook on the further course of the measurements is given.
- KonferenzbeitragR3 – Resilient, Regional, Retail: Implementation of SusCRM Approach within a Local Retail Platform(EnviroInfo 2022, 2022) Haridas, Sarankumar; Schulte, Richard; Leibenath, Mattes; Wagner vom Berg, BenjaminCurrent consumption patterns in offline and online retailing pose challenges in terms of sustainability aspects such as overcoming the last mile, and product-related and energy-related environmental impacts. In the last decades, customers have changed their mindset from money to sustainability which includes e-Commerce neglecting the greenhouse gas emissions which is linked to the last mile delivery. Alternative choices of delivery method and individual mobility are resulting in different emissions. To bridge the gap this work investigates how to apply a SusCRM (Sustainability Customer Relationship Management) to a local retail platform to meet both customer expectations and sustainable and conscious consumption. An overview of potential incentive systems for implementation within a local e-marketplace is presented.
- KonferenzbeitragBITS: A Key Performance Indicators (KPIs) supported approach to assess traffic safety for cyclists at intersections in the Netherlands(EnviroInfo 2022, 2022) Schering, Johannes; Gómez, Jorge MarxTraffic 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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