Rezultaty
Modelbased online monitoring and predictive control tools for liquid steelmaking and rolling processes are developed
Final assessment of the social acceptance of new tools in productive plantsDeliverable will analyze the feedback coming from endusers in a highly confidential manner considering the possibility of better adapt the tools to real daily necessities
Mid requirements & specifications for Use case 2: : Smart sensor and model-based decision support system for ultra clean steel productionAs a result of the deep analysis of the status and innovation potential by elevating the overall degree of digitalization in terms of instrumentation equipment, data collection, data analysis and control technology for Use case 2: Smart sensor and model-based decision support system for ultra clean steel production; the requirements and specifications for Use case 2 will be issued in Deliverable D2.3 in M6. This will be a first approach for developing process improvements in terms of energy efficiency, minimizing waste, environmental aspects, product quality and productivity.
Final requirements & specifications for Use case 3: Deployment of digital cognitive architecture in non-ferrous industrial caseDeliverable D2.5 will be updated in M20 to define the final requirements and specifications explaining by what means the requirements will be achieved (installed new control and instrumentation equipment, data collection, data analysis, etc.) for Use case 3: Deployment of digital cognitive architecture in non-ferrous industrial case.
Design principles for data infrastructureThis document will contain set of design principles recommendations and guidelines for data infrastructure based on consolidated set of requirements Document will cover different aspects of data infrastructure design including industry standards cloud concepts and technologies capacity and performance security availability reliability and similar
ZRM basic control system upgradeThis deliverable will give a report on upgrading the basic control and measurement equipment
Final requirements & specifications for Use case 2: : Smart sensor and model-based decision support system for ultra clean steel productionDeliverable D2.3 will be updated in M20 to define the final requirements and specifications explaining by what means the requirements will be achieved (installed new control and instrumentation equipment, data collection, data analysis, etc.) for Use case 2: Smart sensor and model-based decision support system for ultra clean steel production.
Report on finished industrial trials and evaluated operation of the cognitive systemThe results of the industrial validation trials including the automation in prescriptions definition that will avoid human mistakes in final decisions will be summarised in deliverable 93 for different production batches for each selected reference If necessary the prediction algorithms and prescriptions will be adjusted to improve its accuracy
Cognitive system to achieve multi-criterial objectivesThe capacity of the cognitive system to achieve multicriterial objetives will be proven online and summarized in Deliverable 92 The capacity to generate prescriptions in terms of alarms being sent to workers to adjust the process accordingly resulting in an automated decision making will be also reported in this deliverable
Final requirements & specifications for Use case 1: Implementation of the EAF and ZRM optimizationDeliverable D21 will be updated in M20 to define the final requirements and specifications explaining by what means the requirements will be achieved installed new control and instrumentation equipment data collection data analysis etc for Use case 1 Implementation of the EAF and ZRM optimization
ZRM process model documentationA report on a general process model developed in WP4 and further developed and adapted to production environment in WP7 The model will represent and optimization tool enabling various analyses parameter setup and operational adaptation of critical parameters
Predicted castability and cleanliness levelThe report will summarize the analysis of casting process parameters, and based on that, a quantification of the expected castability and cleanliness level of steel samples will be provided. Results of post-mortem analysis clogging materials taken from casting nozzles will be also a part of the report.
Final quantification of the economic impact of improved manufacturing processes routesDeliverable will summarize the evolution of KPIs related to economical and yield aspects This report will explore the economic benefits of already more efficient factories
Final quantification of the environmental impact of improved manufacturing processes routesDeliverable will show the results of the optimized process from the environmental and resources efficiency point of view through related KPIs Considering identified indexes on deliverable D63 quantification of the environment related improvements will be done
Mid quantification of the economic impact of improved manufacturing processes routesDeliverable will summarize the evolution of KPIs related to economical and yield aspects Initial economic benefits will be calculated these numbers will serve as a reference for further improvements impact assessment
Guidelines for the advisory system and its componentsThe guidelines should consist of suggestions for countermeasures during secondary metallurgical treatment within the scope considered in the process model Especially overall treatment times stirring parameters slag strategies for Basic Oxygen Furnace and Electric Arc Furnace operation are expected to be defined These parameters rely on castability inclusion chemistry desulphurization and steel cleanliness representing components of the advisory system
Mid quantification of the environmental impact of improved manufacturing processes routesDeliverable will show the results of the optimized process from the environmental and resources efficiency point of view through related KPIs A first general overview of the impact caused by developed tools in their preliminary stage will be done
Mid requirements & specifications for Use case 3: Deployment of digital cognitive architecture in non-ferrous industrial caseAs a result of the deep analysis of the status and innovation potential by elevating the overall degree of digitalization in terms of instrumentation equipment data collection data analysis and control technology for Use case 3 Deployment of digital cognitive architecture in nonferrous industrial case the requirements and specifications for Use case 3 will be issued in Deliverable D25 in M6 This will be a first approach for developing process improvements in terms of energy efficiency minimizing waste environmental aspects product quality and productivity
Communication and dissemination planDissemination plan is based on the activities named in proposal In the reports the progress will be checked and the results evaluated Communication plan will coordinate all communication activities
Analysis software for process and sensor data developedSoftware for analysis of sensor data Image and vibration sensors and process data analysis software for liquid steelmaking rolling and nonferrous casting is developed
Validated data acquisition and sensor technologiesThe report dedicated to this deliverable will describe the installed systems and strategies for data collection and storage being used in the use cases Electric Arc Furnace operation cold rolling mill secondary metallurgical treatment processes ie ladle furnace and vacuum degassing and nonferrous alloy casting A validation of the applicability of sensor technologies should define the suitable systems for a further usage within the project
Predicted KPIs for different references and batchesThis deliverable will give the predicted KPIs selected by EIPC for different references and batches to monitor the capacity of the system to achieve a multi-criterial objectives.
Recoded EAF model and optimization frameworkA report on final implementation of the developed enhanced EAF models and EAF optimization framework and user interfaces in a suitable programming language such as C or similar
Training materialsA report on prepared training materials and programs which will be intended for employees in similar process industries and will include the results conclusions and knowhow obtained during the course of the project Furthermore the report will also include the information on identified target groups and availability of the gathered materials on publicly accessible media
Design principles for communication infrastructureThis document will contain set of design principles recommendations and guidelines for communication infrastructure based on consolidated set of requirements Document will cover different aspects of infrastructure design including industry standards capacity performance security availability reliability and similar
Mid assessment of the social acceptance of new tools in productive plantsThis report will be focused on the identification of end users main concerns about the industrial process to be modeled on the concentration of the expectations to be covered by the final product and on the definition of possible mechanisms training communication to ensure successful implementation
Mid requirements & specifications for Use case 1: Implementation of the EAF and ZRM optimizationAs a result of the deep analysis of the status and innovation potential by elevating the overall degree of digitalization in terms of instrumentation equipment data collection data analysis and control technology for Use case 1 Implementation of the EAF and ZRM optimization the requirements and specifications for Use case 1 will be issued in Deliverable D21 in M6 This will be a first approach for developing process improvements in terms of energy efficiency minimizing waste environmental aspects product quality and productivity
Consolidated set of requirementsThis document will contain set of functional and technical requirements for both communication and data infrastructure. Requirements will be derived from individual UC requirements and specification.
Guidelines for the digital architecture implementation in the industryBased on the results obtained from Use case 3 guidelines for digital architecture implementation in the foundry industry will be issued in Deliverable 94
Finished industrial trials and evaluated operation of the supervisory systemA report will be generated consisting of the experimental campaign results Different steel grades defined by SID and VAS will be tested whereas varying process parameters will be applied based on the advisory systems suggestions The comprehensive analysis of the test trials should lead to a quantification of necessary optimization cycles of the online advisory system to improve its accuracy
Advisory system for optimization and control of process operationThe current deliverable will summarize the developed advisory system consisting of models for castability inclusion formation and removal as well as desulphurization The interfaces to the users IT systems will be defined Integration of networked based sensor technologies will be reported such as the camerabased imaging system from VAS or accelerometerbased vibration at SID for ladle car stirring monitoring
ZRM software and hardware platform documentationA report on development and implementation of data collection system It will determine which communication protocols will be used and which operational data will be collected
Decision support systems set-upRule and expert knowledgebased decision support and control systems for EAF steelmaking liquid steel refining and casting rolling and nonferrous casting processes are set up
Communication interfacesTo be able to perform longterm data storage communication protocols and different signal types must be accepted by the systems Communication interfaces between data storage and the investigated plants must be defined All these requirements and protocols will be summarized in a report dedicated to this D33
ZRM diagnostic, condition monitoring and control algorithmsA report on implemented diagnistic and condition monitoring algorithms Algoriths will be based on a process model and will support the operator
Acquisition and storage technologiesAccording to the sensor technology validation necessary hardware extensions and or modifications will be documented within this report Additionally corresponding data acquisition and storage systems will be definedimplemented to be capable to collect all data types according the proposed expectations
Analytical and datadriven predictive models for liquid steelmaking rolling and nonferrous casting processes are developed
Long-term data sets and sensor evaluationLong-term data acquisition trails are repeated periodically for a certain cycle during the whole project duration. These trails should evaluate the used sensors regarding their long-term functionality and implementation potential. Certain kind of data reduction or compression methods will be applied to signals of high sampling rates. This enables a sustainable data storage strategy for future installations and long-term data analyses. Based on the results, a condition-based methodology can be developed.
EAF model and optimization user interfacesA report on final implementation of the combined EAF models, EAF optimization framework and dedicated user interfaces in appropriate form. The developed solution will include all necessary features and functionalities to allow its proper use by process operators and technologists.
Multi-criterial optimization algorithms developedModel Predictive Control MPC supported multicriterial online optimization algorithms for nonferrous casting process are developed
Data Management Plan will specify what data will be opened to public
Advertising material will be prepared which will promote project idea provide upto date project news and awareness about the dissemination results
Project websiteWebsite will be established, which will provide up-to date project news and awareness about the dissemination results.
Publikacje
Autorzy:
Goran Andonovski; Simon Tomažič
Opublikowane w:
IFAC-PapersOnLine, Numer Volume 55, Numer 20, 2022, ISSN 2405-8963
Wydawca:
Elsevier
DOI:
10.1016/j.ifacol.2022.09.123
Autorzy:
Christine Gruber; Birgit Bückner; Magdalena Schatzl; Maria Thumfart; Ramona Eßbichl; Roman Rössler
Opublikowane w:
steel research international, Numer Volume93, Numer12, 2022, ISSN 1611-3683
Wydawca:
Verlag Stahleisen GmbH
DOI:
10.1002/srin.202200060
Autorzy:
Aljaž Blažič, Igor Škrjanc, Vito Logar
Opublikowane w:
Applied Soft Computing, Numer Volume 113, Part B, 2021, ISSN 1568-4946
Wydawca:
Elsevier BV
DOI:
10.1016/j.asoc.2021.107949
Autorzy:
J. Fiedler; K. Berland; J. W. Borchert; R. W. Corkery; A. Eisfeld; D. Gelbwaser-Klimovsky; M. M. Greve; B. Holst; K. Jacobs; M. Krüger; D. F. Parsons; C. Persson; M. Presselt; T. Reisinger; S. Scheel; F. Stienkemeier; M. Tømterud; M. Walter; R. T. Weitz; J. Zalieckas
Opublikowane w:
Phys. Chem. Chem. Phys., Numer Volume 25, Numer 4, 2023, Strona(/y) 2671-2705, ISSN 1463-9076
Wydawca:
Royal Society of Chemistry
DOI:
10.1039/d2cp03349f
Autorzy:
Simon Tomažič; Goran Andonovski; Igor Škrjanc; Vito Logar
Opublikowane w:
Metals, Numer 12, 816, 2022, ISSN 2075-4701
Wydawca:
MDPI
DOI:
10.3390/met12050816
Autorzy:
Pavel Ettler; Miha Glavan
Opublikowane w:
IFAC-PapersOnLine, Numer volume 55, issue 21, 2022, Strona(/y) 186-191, ISSN 2405-8963
Wydawca:
Elsevier
DOI:
10.1016/j.ifacol.2022.09.265
Autorzy:
Dejan Gradišar, Miha Glavan
Opublikowane w:
Processes, Numer 8/10, 2020, Strona(/y) 1246, ISSN 2227-9717
Wydawca:
MDPI
DOI:
10.3390/pr8101246
Autorzy:
Vito Logar, Igor Škrjanc
Opublikowane w:
Journal of Sustainable Metallurgy, Numer 7/3, 2021, Strona(/y) 1013-1026, ISSN 2199-3823
Wydawca:
Springer Nature
DOI:
10.1007/s40831-021-00390-y
Autorzy:
Pavel Ettler
Opublikowane w:
ESM2020-The 2020 European Simulation and Modelling Conference, Numer October 21-23, 2020, 2020, Strona(/y) 237-241
Wydawca:
EUROSIS-ETI (EUROSIS - The European Multidisciplinary Society for Modelling and Simulation Technology, ETI-European Technology Institute)
Autorzy:
Aljaž Blažič; Vito Logar; Igor Škrjanc
Opublikowane w:
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2022), 2022, ISSN 1558-4739
Wydawca:
IEEE
DOI:
10.1109/fuzz-ieee55066.2022.9882618
Autorzy:
Vito Logar, Simon Tomažič, Goran Andonovski, Aljaž Blažič, Igor Škrjanc
Opublikowane w:
EASES : abstract booklet : 4th European Academic Symposium on EAF Steelmaking organized, 2021, Strona(/y) 36-37
Wydawca:
RWTH Aachen University, Department for Industrial Furnaces and Heat Engineering
Autorzy:
Dejan Gradišar, Miha Glavan, Gregor Dolanc, Mojca Loncnar
Opublikowane w:
Zbornik dvanajste konference Avtomatizacija v industriji in gospodarstvu, 8. april 2021., Numer 8. April 2021, 2021
Wydawca:
Društvo avtomatikov Slovenije
Autorzy:
Kristjan CUZNAR; Miha GLAVAN
Opublikowane w:
IEEE Mediterranean Electrotechnical Conference, IEEE MELECON 2022, Palermo, Italy, Numer June 14-16, 2022, 2022, Strona(/y) 1-6
Wydawca:
IEEE
DOI:
10.1109/melecon53508.2022.9843127
Autorzy:
Pavel Ettler; Ivan Puchr
Opublikowane w:
30th Mediterranean Conference on Control and Automation (MED 2022), Numer 28 June 2022 - 01 July 2022, 2022, Strona(/y) 755-760
Wydawca:
IEEE
DOI:
10.1109/med54222.2022.9837226
Autorzy:
Pavel Ettler
Opublikowane w:
IEEE International Conference On Mechatronics - ICM 2023, Loughborough, UK, 2023
Wydawca:
IEEE Industrial Electronics Society
Autorzy:
Vito Logar
Opublikowane w:
Proceedings of the 31st International Electrotechnical and Computer Science Conference, 2022
Wydawca:
Slovenian section of IEEE (Društvo Slovenska sekcija IEEE)
Autorzy:
Sudhanshu Kuthe; Björn Glaser; Rössler Roman; Izaskun Alonso Oña
Opublikowane w:
9th European Oxygen Steelmaking Conference (EOSC), Aachen, Germany, 2022
Wydawca:
Steel Institute VDEh
DOI:
10.13140/rg.2.2.30094.84800
Autorzy:
Sudhanshu Kuthe, Andrey Karasev, Björn Glaser, Rössler Roman
Opublikowane w:
ESTAD2021 conference Program Book, Numer 30 August – 2 September 2021, 2021
Wydawca:
5th ESTAD (European Steel Technology and Application Days)
DOI:
10.13140/rg.2.2.10169.90721/1
Autorzy:
Logar Vito
Opublikowane w:
Proceedings of the 30th International Electrotechnical and Computer Science Conference ERK 2021, 2021, Strona(/y) 201-204
Wydawca:
Slovenian section IEEE : Faculty of Electrical Engineering, University of Ljubljana
Autorzy:
Pavel Ettler
Opublikowane w:
DPS2020-14th International Conference on Diagnostics of Processes and Systems, Numer 21 - 22 September 2020, 2020
Wydawca:
University of Zielona Góra
Autorzy:
Christine Gruber, Birgit Bückner, Magdalena Schatzl, Maria Thumfart, Ramona Eßbichl, Roman Rössler
Opublikowane w:
9th Conference on modeling and simulation of metallurgical processes in steelmaking (Steelsim 2021), Numer 05-07 October 2021, 2021
Wydawca:
ASMET, Austrian Society for Metallurgy and Materials
DOI:
10.13140/rg.2.2.36160.40961
Autorzy:
Kristjan Cuznar
Opublikowane w:
Proceedings of the 30th International Electrotechnical and Computer Science Conference ERK 2021, 2021, Strona(/y) 462-465
Wydawca:
Slovenian section IEEE : Faculty of Electrical Engineering, University of Ljubljana
Autorzy:
Vito Logar, Simon Tomažič, Goran Andonovski, Igor Škrjanc
Opublikowane w:
Proceedings of the 9th Conference on modeling and simulation of metallurgical processes in steelmaking - Steelsim 2021, Numer 05-07 October 2021, 2021, Strona(/y) 738-745
Wydawca:
ASMET, Austrian Society for Metallurgy and Materials
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