E-mail: info@inevitable-project.eu
E-mail: info@inevitable-project.eu
Results
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Project presentation
The project is targeting at resource and energy intensive sectors of the process industry, with focus on the steel and nonferrous metals sector. Since these
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Monitoring and control
The process chains for metal production (e.g. steel, aluminium) are complex and involve numerous metallurgical and physical sub-processes. The aim is to produce products fulfilling
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Digital infrastructure
When setting up the digitalization infrastructure, technical requirements need to be aligned with process and organizational requirements, to ensure the proper platform for digitalization. Choosing
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Data collection and sensor technologies
Digitally integrated production sensorics enable better process control and analytics, leading to reduced emissions and energy demands as well as the creation of more sustainable
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D7.2 ZRM software and hardware platform documentation
Deliverable D7.2 aims to provide more specific details about the selected and implemented infrastructure that will enable the implementation of the developed UC1-ZRM solution within
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D9.2 COGNITIVE SYSTEM TO ACHIEVE MULTI-CRITERIAL OBJECTIVES
The present document constitutes the deliverable D9.2 “Cognitive system to achieve multi-criterial objectives” in the framework of the SPIRE project entitled “Optimization and performance improving
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D8.2 ADVISORY SYSTEM FOR OPTIMIZATION AND CONTROL OF PROCESS OPERATION
The present document constitutes the deliverable D8.2 “Advisory system for optimization and control of process operation” in the framework of the project entitled “Optimization and
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D4.3 ON-LINE MONITORING AND PREDICTIVE CONTROL TOOLS DEVELOPED
D4.3 ON-LINE MONITORING AND PREDICTIVE CONTROL TOOLS DEVELOPEDThe present document constitutes the deliverable D4.3 “On-line monitoring and predictive control tools developed” in the framework of
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D4.4 MULTI-CRITERIAL OPTIMIZATION ALGORITHMS DEVELOPED
The present document constitutes the deliverable D4.4 “Multi-criterial optimization algorithms developed” in the framework of the SPIRE project entitled “Optimization and performance improving in metal
Full list of Services
- INEVITABLE brochure
- Deliverable 10.3 Project advertising material
- Innovation6: Smart lean management system to integrate in manufacturing industry
- Innovation5: Camera based stirring monitoring and decision support
- Innovation4: Aided stirring control based on real time data processing
- Innovation3: The advisory tool for predicting nozzle clogging and improve castability
- Innovation2: Cold rolling mill assistant
- Innovation1: EAF refining monitor
- Demo5: Cognitive systems for non-ferrous investment casting process
- Demo4: Predictive process models for refining and continuous casting of liquid steel
- Demo3: Decision support and optimization systems in refining and continuous casting
- Demo2: System for supervision, optimisation, diagnosis and condition monitoring of Cold rolling mills
- Demo1: Optimization framework for electric arc furnace
- Deliverable 9.4 Guidelines for digital architecture implementation in the industry
- Deliverable 7.4 ZRM diagnostic, condition monitoring and control algorithms
- Deliverable 6.4 Final quantification of the environmental impact of improved manufacturing processes routes
- Deliverable 6.2 Final quantification of the economic impact of improved manufacturing processes routes
- Deliverable 6.6 Final assessment of the social acceptance of new tools in productive plants
- Inside SIJ Acroni (video)
- Deliverable 9.3 Report on finished industrial trials and evaluated operation of the cognitive system
- Deliverable 8.3 Finished industrial trials and evaluated operation of the supervisory system
- Deliverable 8.4 Guidelines for the advisory system and its components
- Training materials
- Deliverable 7.3 ZRM process model documentation
- Deliverable 3.4 Long-term data sets and sensor evaluation
- Deliverable 7.6 EAF model and optimization user interfaces
- Deliverable 7.5 Recoded EAF model and optimization framework
- Deliverable 6.5 Mid-assessment of the social acceptance of new tools in productive plants
- Deliverable 6.3 Mid-quantification of the environmental impact of improved manufacturing processes routes
- Delivarable 6.1 Mid-quantification of the economic impact of improved manufacturing processes routes
- Deliverable 3.3 Communication interfaces
- Publications
- D10.1 Communication and dissemination plan
- D10.5 TRAINING MATERIALS
- D10.4 DATA MANAGMENET PLAN
- Systematic approach to the preparation of requirements and specifications for digital upgrades
- Project presentation
- Monitoring and control
- Digital infrastructure
- Data collection and sensor technologies
- D7.2 ZRM software and hardware platform documentation
- D9.2 COGNITIVE SYSTEM TO ACHIEVE MULTI-CRITERIAL OBJECTIVES
- D8.2 ADVISORY SYSTEM FOR OPTIMIZATION AND CONTROL OF PROCESS OPERATION
- D4.3 ON-LINE MONITORING AND PREDICTIVE CONTROL TOOLS DEVELOPED
- D4.4 MULTI-CRITERIAL OPTIMIZATION ALGORITHMS DEVELOPED
- D4.5 DECISION SUPPORT SYSTEMS SET-UP
- D5.3 DESIGN PRINCIPLES FOR DATA INFRASTRUCTURE
- D5.2 DESIGN PRINCIPLES FOR COMMUNICATION INFRASTRUCTURE
- D3.2 ACQUISITION AND STORAGE TECHNOLOGIES
- D4.2 PREDICTIVE PROCESS MODELS
- D3.1 VALIDATED DATA ACQUISITION AND SENSOR TECHNOLOGIES
- D4.1 ANALYSIS SOFTWARE FOR PROCESS AND SENSOR DATA DEVELOPED
- Deliverable D2.4 Final requirements & specifications for Use case 2
- D2.2 FINAL REQUIREMENTS & SPECIFICATIONS FOR USE CASE 1: IMPLEMENTATION OF THE EAF AND ZRM OPTIMIZAT
- D2.6 FINAL REQUIREMENTS & SPECIFICATIONS FOR USE CASE 3: DEPLOYMENT OF DIGITAL COGNITIVE ARCHITECTUR
- D9.1 PREDICTED KPIS FOR DIFFERENT REFERENCES AND BATCHES
- D8.1 PREDICTED CASTABILITY AND CLEANLINESS LEVEL
- D7.1 ZRM BASIC CONTROL SYSTEM UPGRADE
- D5.1 CONSOLIDATED SET OF REQUIREMENTS
- D2.1 MID REQUIREMENTS & SPECIFICATIONS FOR USE CASE 1: IMPLEMENTATION OF THE EAF AND ZRM OPTIMIZATIO
- D2.3 MID REQUIREMENTS & SPECIFICATIONS FOR USE CASE 2: SMART SENSOR AND MODELBASED DECISION SUPPORT
- D2.5 MID REQUIREMENTS & SPECIFICATIONS FOR USE CASE 3: DEPLOYMENT OF DIGITAL COGNITIVE ARCHITECTURE