E-mail: info@inevitable-project.eu
E-mail: info@inevitable-project.eu
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D4.5 DECISION SUPPORT SYSTEMS SET-UP
The present document constitutes the deliverable D4.5 of the SPIRE project titled “Optimization and performance improving in metal industry by digital technologies” (Project Acronym: INEVITABLE;
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D5.3 DESIGN PRINCIPLES FOR DATA INFRASTRUCTURE
The present document constitutes the deliverable D5.3: “Preparation of design principles for the data infrastructure”.The main objective of T5.3 was to prepare general design principles
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D5.2 DESIGN PRINCIPLES FOR COMMUNICATION INFRASTRUCTURE
The present document constitutes the deliverable D5.2: “Preparation of design principles for the communication infrastructure”.The main objective of T5.2 was to prepare general design principles
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D3.2 ACQUISITION AND STORAGE TECHNOLOGIES
This deliverable contains details on the activities of WP3 concerning data acquisition and storage technologies for all use cases. The goal of WP3 of this
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D4.2 PREDICTIVE PROCESS MODELS
The main objective of this deliverable is to highlight the development, adaptation and provision of several tools for data analysis and predictive process models used
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D3.1 VALIDATED DATA ACQUISITION AND SENSOR TECHNOLOGIES
The present document constitutes the deliverable D3.1 and includes the following for all use cases: Description of installed systems and strategies for data collection and
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D4.1 ANALYSIS SOFTWARE FOR PROCESS AND SENSOR DATA DEVELOPED
INEVITABLE project deals with multiple technologies/solutions applied for each use case. The present document constitutes the deliverable D4.1, which summarizes the work done in WP4,
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Deliverable D2.4 Final requirements & specifications for Use case 2
The present document constitutes the deliverable D2.4 and includes the methodology, results and conclusions in the definition of final specifications and requirements of Use case
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D2.2 FINAL REQUIREMENTS & SPECIFICATIONS FOR USE CASE 1: IMPLEMENTATION OF THE EAF AND ZRM OPTIMIZAT
The present document constitutes the deliverable D2.2: “Final requirements & specifications for Use case 1: Implementation of the EAF and ZRM optimization” in the framework
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