1,121 research outputs found
Assessing an automated mining operation with STPA
No full textAutonomous mining reshapes contemporary mining practices as it plays an increasing role in bringing value to customers. The benefits encompass improvements in operational efficiency, safety, and process reliability while offering flexible maintenance programs that reduce downtime and costs. Mine automation systems cover a wide range of automation, from individual control cabinets to controlling entire fleets. However, the growing complexity and functionality of these systems introduce new risks, necessitating a comprehensive safety analysis. Traditional hazard analysis methods, which examine system components separately and in isolation, are no longer adequate. In complex systems, such as mine automation systems, losses may occur not only due to component failures but rather because of unpredictable and undesired interactions among system elements. Rooted in system theory, Systems-Theoretic Process Analysis (STPA) can address this complex, non-linear way of how losses can arise.This study employs STPA to examine its suitability for the mine automation industry by assessing a mining pit's automated and remotely operated drill rig fleet. Additionally, the research explores the potential of STPA for identifying system requirements and safety goals in the context of mine automation systems. System elements of the examined use case are three automated drill rigs and a teleoperation station. The analysis deals with a typical daily maintenance use case when the mode of operation must be changed as the maintenance person approaches the drill rig and returns.STPA, is implemented in four stages: defining the analysis’ purpose, modelling the control structure, identifying the unsafe control actions, and finally describing loss scenarios. In comparison to traditional hazard and safety analysis tools, STPA gives special attention to control actions by dedicating Step 3 to identifying how assumingly suitable and safe control actions can become unsafe. Results show that STPA, which views safety as a control problem, provides valuable insights into the dynamic interactions between the remote operator in the teleoperation station and the on-site maintenance personnel using the drill rig's onboard control system and the control cabinet at the site. The use-case analysis of six control actions revealed 15 possible unsafe control actions and over 40 possible loss scenarios. A significant share of loss scenarios is related to human - machine interactions. Concretely, the study highlighted the importance of communication between the maintenance person and the remote operator, emphasizing the need to prevent communication and connectivity problems. Additionally, challenges related to the indication of the operating mode of the drill rig and its transition as well as the location of on-site control cabinet affecting safety were identified. Proposals were made for clearer communication through clearer operating mode indication. Further, better site overview and visibility could prevent unintended drill rig approaches during drill rig’s automatic operation. While the results are not of technical nature, they can aid in creating a safe work environment and understanding factors affecting the work at the site. STPA proved to deliver valuable input for discussions during system’s conceptual design phase. Furthermore, the tool appears to contribute to assessing planed system design modifications as well as reassessing already existing systems.This research has been conducted as a part of the “Future Electrified Mobile Machines” (FEMMa) project, which is mainly funded by Business Finland
Assessing an automated mining operation with STPA
No full textAutonomous mining reshapes contemporary mining practices as it plays an increasing role in bringing value to customers. The benefits encompass improvements in operational efficiency, safety, and process reliability while offering flexible maintenance programs that reduce downtime and costs. Mine automation systems cover a wide range of automation, from individual control cabinets to controlling entire fleets. However, the growing complexity and functionality of these systems introduce new risks, necessitating a comprehensive safety analysis. Traditional hazard analysis methods, which examine system components separately and in isolation, are no longer adequate. In complex systems, such as mine automation systems, losses may occur not only due to component failures but rather because of unpredictable and undesired interactions among system elements. Rooted in system theory, Systems-Theoretic Process Analysis (STPA) can address this complex, non-linear way of how losses can arise.This study employs STPA to examine its suitability for the mine automation industry by assessing a mining pit's automated and remotely operated drill rig fleet. Additionally, the research explores the potential of STPA for identifying system requirements and safety goals in the context of mine automation systems. System elements of the examined use case are three automated drill rigs and a teleoperation station. The analysis deals with a typical daily maintenance use case when the mode of operation must be changed as the maintenance person approaches the drill rig and returns.STPA, is implemented in four stages: defining the analysis’ purpose, modelling the control structure, identifying the unsafe control actions, and finally describing loss scenarios. In comparison to traditional hazard and safety analysis tools, STPA gives special attention to control actions by dedicating Step 3 to identifying how assumingly suitable and safe control actions can become unsafe. Results show that STPA, which views safety as a control problem, provides valuable insights into the dynamic interactions between the remote operator in the teleoperation station and the on-site maintenance personnel using the drill rig's onboard control system and the control cabinet at the site. The use-case analysis of six control actions revealed 15 possible unsafe control actions and over 40 possible loss scenarios. A significant share of loss scenarios is related to human - machine interactions. Concretely, the study highlighted the importance of communication between the maintenance person and the remote operator, emphasizing the need to prevent communication and connectivity problems. Additionally, challenges related to the indication of the operating mode of the drill rig and its transition as well as the location of on-site control cabinet affecting safety were identified. Proposals were made for clearer communication through clearer operating mode indication. Further, better site overview and visibility could prevent unintended drill rig approaches during drill rig’s automatic operation. While the results are not of technical nature, they can aid in creating a safe work environment and understanding factors affecting the work at the site. STPA proved to deliver valuable input for discussions during system’s conceptual design phase. Furthermore, the tool appears to contribute to assessing planed system design modifications as well as reassessing already existing systems.This research has been conducted as a part of the “Future Electrified Mobile Machines” (FEMMa) project, which is mainly funded by Business Finland
Assessing an automated mining operation with STPA
No full textAutonomous mining reshapes contemporary mining practices as it plays an increasing role in bringing value to customers. The benefits encompass improvements in operational efficiency, safety, and process reliability while offering flexible maintenance programs that reduce downtime and costs. Mine automation systems cover a wide range of automation, from individual control cabinets to controlling entire fleets. However, the growing complexity and functionality of these systems introduce new risks, necessitating a comprehensive safety analysis. Traditional hazard analysis methods, which examine system components separately and in isolation, are no longer adequate. In complex systems, such as mine automation systems, losses may occur not only due to component failures but rather because of unpredictable and undesired interactions among system elements. Rooted in system theory, Systems-Theoretic Process Analysis (STPA) can address this complex, non-linear way of how losses can arise.This study employs STPA to examine its suitability for the mine automation industry by assessing a mining pit's automated and remotely operated drill rig fleet. Additionally, the research explores the potential of STPA for identifying system requirements and safety goals in the context of mine automation systems. System elements of the examined use case are three automated drill rigs and a teleoperation station. The analysis deals with a typical daily maintenance use case when the mode of operation must be changed as the maintenance person approaches the drill rig and returns.STPA, is implemented in four stages: defining the analysis’ purpose, modelling the control structure, identifying the unsafe control actions, and finally describing loss scenarios. In comparison to traditional hazard and safety analysis tools, STPA gives special attention to control actions by dedicating Step 3 to identifying how assumingly suitable and safe control actions can become unsafe. Results show that STPA, which views safety as a control problem, provides valuable insights into the dynamic interactions between the remote operator in the teleoperation station and the on-site maintenance personnel using the drill rig's onboard control system and the control cabinet at the site. The use-case analysis of six control actions revealed 15 possible unsafe control actions and over 40 possible loss scenarios. A significant share of loss scenarios is related to human - machine interactions. Concretely, the study highlighted the importance of communication between the maintenance person and the remote operator, emphasizing the need to prevent communication and connectivity problems. Additionally, challenges related to the indication of the operating mode of the drill rig and its transition as well as the location of on-site control cabinet affecting safety were identified. Proposals were made for clearer communication through clearer operating mode indication. Further, better site overview and visibility could prevent unintended drill rig approaches during drill rig’s automatic operation. While the results are not of technical nature, they can aid in creating a safe work environment and understanding factors affecting the work at the site. STPA proved to deliver valuable input for discussions during system’s conceptual design phase. Furthermore, the tool appears to contribute to assessing planed system design modifications as well as reassessing already existing systems.This research has been conducted as a part of the “Future Electrified Mobile Machines” (FEMMa) project, which is mainly funded by Business Finland
The Spoken Wikipedia Corpora
No full textThe Spoken Wikipedia project unites volunteer readers of Wikipedia articles. Hundreds of spoken articles in multiple languages are available to users who are – for one reason or another – unable or unwilling to consume the written version of the article. Our resource, the Spoken Wikipedia Corpus, consolidates the Spoken Wikipediae, adding text segmentation, normalization, time-alignment and further annotations, making it accessible for research and fostering new ways of interacting with the material.
Timo Baumann and Arne Köhn and Felix Hennig. 2018. The Spoken Wikipedia Corpus Collection: Harvesting, Alignment and an Application to Hyperlistening, in Language Resources and Evaluation, Special Issue representing significant contributions of LREC 2016.
Arne Köhn, Florian Stegen, Timo Baumann. 2016. Mining the Spoken Wikipedia for Speech Data and Beyond, in Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016).
CLARIN Metadata summary for The Spoken Wikipedia Corpora (CMDI-based)
Title: The Spoken Wikipedia Corpora
Description: The Spoken Wikipedia project unites volunteer readers of Wikipedia articles. Hundreds of spoken articles in multiple languages are available to users who are – for one reason or another – unable or unwilling to consume the written version of the article. Our resource, the Spoken Wikipedia Corpus, consolidates the Spoken Wikipediae, adding text segmentation, normalization, time-alignment and further annotations, making it accessible for research and fostering new ways of interacting with the material.
Publication date: 2017
Data owner: Timo Baumann - Universität Hamburg
Contributors: Timo Baumann (author), Arne Köhn (author), Florian Stegen (author)
Languages: English (eng), German (deu), Dutch (nld)
Size: 5397 article, 1005 hour
Segmentation units: other
Genre: encyclopedia
Modality: spoken
References: Timo Baumann; Arne Köhn; Felix Hennig (2018) The Spoken Wikipedia Corpus Collection: Harvesting, Alignment and an Application to Hyperlistening References: Arne Köhn; Florian Stegen; Timo Baumann (2016) Mining the Spoken Wikipedia for Speech Data and Beyon
Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE
No full textThis dataset contains all testcase setup files and result files for the measurements presented in the Master's thesis with the title "Efficient Application of Accelerator Cards for the Coupling Library preCICE" (Author: Timo Pierre Schrader).
Furthermore, it contains the version of preCICE used throughout this thesis.
The thesis revolves around GPU acceleration of RBF data mapping in preCICE. See the README for more information how to build and run the testcase
Timo de Rijk: 'We plant the seed'; interview
No full textArt historian Timo de Rijk was appointed Professor of Design, Culture and Society in Delft and Leiden last September. He calls this combination ‘a real breakthrough’. ‘Leiden University studies the workings of culture, while TU Delft aims at creating new things. These are fundamentally different approaches. I am the bridge between the two.’Industrial Design Engineerin
A tale of automation safety:Lessons learned from automotive to aviation and beyond
No full textIndustrial automation is increasing due to the potential to reduce costs, and expectations to increase productivity, efficiency, agility, safety. The latest developments are fueled by technological leaps, such as AI advancements for robotic automation, metaverse, machine vision and “humanlike” machine perception, to name a few. However, the generic narrative has often been that the workers should adapt to the automation.From an organizational factors perspective, it is critical to design and implement automation solutions in a way that allows the people in organizations – from shop floor workers to top managers - to make sense of the underlying conditions and make decisions that control the potentially unsafe and dynamic conditions to prevent risks from actualizing. Organizational factors, such as decision-making, communication, incentives systems, competence development and training, leadership, management and culture for safety, as well as political, social, economic and regulatory context all play an important role for creating conditions for safe automation. Previous research in the context of offshore drilling automation indicated that organizational factors are influenced by automation systems, and they influence the way in which these systems are applied in a specific organizational setting. This paper offers a tale of automation safety, bringing in insights, lessons learned and historical accounts from aviation to automotive industry and beyond. It advances the understanding on the role of non-technical, organizational factors and business and operational environment that have contributed to the Boeing 737 MAX crashes and linking them to historical accounts for developing regulatory foundations for automotive safety. Latent deficiencies in these factors have been present decades ago in the Boeing’s case but their cumulative effect on safety have not been timely and effectively addressed. Research method is scoping review of public sources and publications. The value of cross-industry learning is emphasized: although different safety-critical industrial domains have specific standards, requirements and regulatory context, there are similarities, which allow for transferability of lessons learned to support safety oversight and overall safe operations in complex sociotechnical industrial settings. The paper concludes by emphasizing the value of cross-industry organizational learning and the importance of knowing the past to shape the future of safe automation.<br/
Educación Artística Comunitaria en Finlandia: entrevista a Timo Jokela
Get PDFEste artículo presenta un estudio sobre la educación artística comunitaria en la Universidad de Laponia en Finlandia. En primer lugar se analizan las líneas principales de este modelo formativo y de su plan de estudios. En segundo lugar se presenta una entrevista con Timo Jokela, Decano de la Facultad de Arte y Diseño de la Universidad de Laponia y director del Departamento de Educación Artística en esa misma Facultad. En la entrevista Timo Jokela habla de las relaciones entre arte, medio ambiente, comunidad y educación partiendo de su propia experiencia como artista y centrado en el contexto finlandés. También sobre los aspectos sociales, culturales, artísticos y educativos que están implícitos en el modelo de educación artística comunitaria que se pone en práctica, como itinerario formativo, en la Universidad de Laponia.
This article presents a study on community-based art education at the University of Lapland in Finland. First, the main guidelines of this training model and its curriculum are analysed. Second, the author includes an interview with Timo Jokela, Dean of the Faculty of Art and Design of The University of Lapland in Finland and Director of the Department of Art Education at the same faculty. In the interview Timo Jokela draws upon his own experience as an artist in Finland to talk about the relationships between art, the environment, community and education. He also talks about the social, cultural, artistic and educational aspects, which are central to the community-based art education scheme in place at The University of Lapland
A tale of automation safety:Lessons learned from automotive to aviation and beyond
No full textIndustrial automation is increasing due to the potential to reduce costs, and expectations to increase productivity, efficiency, agility, safety. The latest developments are fueled by technological leaps, such as AI advancements for robotic automation, metaverse, machine vision and “humanlike” machine perception, to name a few. However, the generic narrative has often been that the workers should adapt to the automation.From an organizational factors perspective, it is critical to design and implement automation solutions in a way that allows the people in organizations – from shop floor workers to top managers - to make sense of the underlying conditions and make decisions that control the potentially unsafe and dynamic conditions to prevent risks from actualizing. Organizational factors, such as decision-making, communication, incentives systems, competence development and training, leadership, management and culture for safety, as well as political, social, economic and regulatory context all play an important role for creating conditions for safe automation. Previous research in the context of offshore drilling automation indicated that organizational factors are influenced by automation systems, and they influence the way in which these systems are applied in a specific organizational setting. This paper offers a tale of automation safety, bringing in insights, lessons learned and historical accounts from aviation to automotive industry and beyond. It advances the understanding on the role of non-technical, organizational factors and business and operational environment that have contributed to the Boeing 737 MAX crashes and linking them to historical accounts for developing regulatory foundations for automotive safety. Latent deficiencies in these factors have been present decades ago in the Boeing’s case but their cumulative effect on safety have not been timely and effectively addressed. Research method is scoping review of public sources and publications. The value of cross-industry learning is emphasized: although different safety-critical industrial domains have specific standards, requirements and regulatory context, there are similarities, which allow for transferability of lessons learned to support safety oversight and overall safe operations in complex sociotechnical industrial settings. The paper concludes by emphasizing the value of cross-industry organizational learning and the importance of knowing the past to shape the future of safe automation.<br/
A tale of automation safety:Lessons learned from automotive to aviation and beyond
No full textIndustrial automation is increasing due to the potential to reduce costs, and expectations to increase productivity, efficiency, agility, safety. The latest developments are fueled by technological leaps, such as AI advancements for robotic automation, metaverse, machine vision and “humanlike” machine perception, to name a few. However, the generic narrative has often been that the workers should adapt to the automation.From an organizational factors perspective, it is critical to design and implement automation solutions in a way that allows the people in organizations – from shop floor workers to top managers - to make sense of the underlying conditions and make decisions that control the potentially unsafe and dynamic conditions to prevent risks from actualizing. Organizational factors, such as decision-making, communication, incentives systems, competence development and training, leadership, management and culture for safety, as well as political, social, economic and regulatory context all play an important role for creating conditions for safe automation. Previous research in the context of offshore drilling automation indicated that organizational factors are influenced by automation systems, and they influence the way in which these systems are applied in a specific organizational setting. This paper offers a tale of automation safety, bringing in insights, lessons learned and historical accounts from aviation to automotive industry and beyond. It advances the understanding on the role of non-technical, organizational factors and business and operational environment that have contributed to the Boeing 737 MAX crashes and linking them to historical accounts for developing regulatory foundations for automotive safety. Latent deficiencies in these factors have been present decades ago in the Boeing’s case but their cumulative effect on safety have not been timely and effectively addressed. Research method is scoping review of public sources and publications. The value of cross-industry learning is emphasized: although different safety-critical industrial domains have specific standards, requirements and regulatory context, there are similarities, which allow for transferability of lessons learned to support safety oversight and overall safe operations in complex sociotechnical industrial settings. The paper concludes by emphasizing the value of cross-industry organizational learning and the importance of knowing the past to shape the future of safe automation.<br/
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