E-mail: info@inevitable-project.eu
E-mail: info@inevitable-project.eu
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Deliverable 9.4 Guidelines for digital architecture implementation in the industry
The present document constitutes the deliverable D9.4 “Guidelines for the digital architecture implementation in the industry” in the framework of the SPIRE project entitled “Optimization
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Deliverable 7.4 ZRM diagnostic, condition monitoring and control algorithms
This document represents the deliverable D7.4 of the project INEVITABLE. The document aims toprovide more specific information about the implemented solutions for ZRM diagnostics, conditionmonitoring
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Deliverable 6.4 Final quantification of the environmental impact of improved manufacturing processes routes
The present document constitutes the deliverable D6.4 of the SPIRE project titled “Optimization and performance improving in metal industry by digital technologies” (Project Acronym: INEVITABLE;
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Deliverable 6.2 Final quantification of the economic impact of improved manufacturing processes routes
The present document constitutes the deliverable D6.2 of the SPIRE project titled “Optimization and performance improving in metal industry by digital technologies” (Project Acronym: INEVITABLE;
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Deliverable 6.6 Final assessment of the social acceptance of new tools in productive plants
The present document constitutes the deliverable D6.6 of the SPIRE project titled “Optimization and performance improving in metal industry by digital technologies” (Project Acronym: INEVITABLE;
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