INEVITABLE

OPTIMIZATION AND PERFORMANCE IMPROVING IN METAL INDUSTRY BY DIGITAL TECHNOLOGIES

The project is targeting at resource and energy intensive sectors of the process industry, with focus on the steel and nonferrous metals sector.

processes

MONITORING AND CONTROL OF PROCESSES IN METAL PRODUCTION

In the first place, the developed solutions can be applied in similar metal making industries like steel and aluminium, but also copper and lead making. Furthermore, they can also be transferred to other process industries like glass or cement, and partly also to the manufacturing industry.

Technology

DATA COLLECTION AND SENSOR TECHNOLOGIES IN THE METAL PRODUCING INDUSTRY

The hardware and sensor upgrades implemented in this project were designed for the metal producing industries but are easily transferrable to other use cases involving (extreme environmental) conditions where similar sensor technology is needed.

Technology

DIGITAL INFRASTRUCTURE SELECTION APPROACH

Overview of the data and communication infrastructure preparation for the digital enterprise

DIGITAL

SYSTEMATIC APPROACH TO THE PREPARATION OF REQUIREMENTS AND SPECIFICATIONS FOR DIGITAL UPGRADES

Manufacturing companies need to digitally upgrade production systems and uptake new technologies

INEVITABLE

“OPTIMIZATION AND PERFORMANCE IMPROVING IN METAL INDUSTRY BY DIGITAL TECHNOLOGIES”

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 industries have an enormous impact on energy and resource consumption, and consequently on the environmental footprint, improvements of energy and material efficiency represent major results of the project with positive impacts on both process sustainability and environment.

The focus of INEVITABLE is to develop high-level supervisory control systems for different production plants and to demonstrate them in operational environment to enable autonomous operation of the processes based on embedded cognitive reasoning.

The project approach is based on three enabling technological areas:

The application of these enabling technologies will be an important step towards digital transformation and optimization of selected production processes.

To get updated with project news, subscribe to the newsletter.

EU_Flag_708x80px

Share:

More Posts

PRESS RELEASE #3

The INEVITABLE reached its successful conclusion at the end of March. We are proud to announce the completion of this

Read More »

Objectives

The general objective of the INEVITABLE project is to improve the performance indicators in the steel...

OBJECTIVES

The general objective of the INEVITABLE project is to improve the performance indicators in the steel and nonferrous metals sectors by retrofitting existing production sites by digitalization and innovative control technologies, to elevate the overall digitalization level. The main ambition is to exceed the level and functionality of traditional process automation and control systems by applying the functionalities of Digital Factories and Industry 4.0 concepts. The INEVITABLE project partners will develop and upgrade various technologies: Electric Arc Furnace (EAF) models and optimization framework, System for supervision, optimisation, diagnosis and condition monitoring of Cold Rolling mills (ZRM), Online advisory system for process control and optimization in clean steel intelligent manufacturing, Predictive process models for refining and continuous casting of liquid steel, Smart cognitive applications to support decisions in controlling the nonferrous casting process.

INEVITABLE LEAFLET

Brief description of INEVITABLE in the project leaflet.

To get updated with project news,

subscribe to the newsletter.

Our latest results.

PROJECT WP STRUCTURE

The project is divided into 10 work packages. The work packages are structured in a way to cover all significant aspects of the project and to fully realize the project objectives. The project has delivered several results already.

View All Deliverables