Project Type Digital Mines

Project Status Ongoing

Total project cost 2,463,017 €

Project website

About the project

Autonomous monitoring and control system for Mining Plants

The Raw Materials industrial sector is increasingly implementing innovative techniques to improve productivity from existing assets and infrastructure leveraging on continuous innovations in sensor technology, machine connectivity, robotics and Artificial Intelligence. However, the potential of digital transformation needs to be translated into a successful implementation of these new technologies in the raw materials industry.

AMICOS (Autonomous monitoring and control system for Mining Plants) is a European project funded by the EIT RawMaterials, an initiative of the EIT (European Institute of Innovation and Technology), a body of the European Union. The project main objective is to support the digital transformation of the Raw Materials industry with an innovative asset management solution that will increase the market adoption of digital technology in mines.

AMICOS end-to-end solution is composed of three main concepts:

i) innovative physical devices deployed and used in the field, which are able to collect sensitive information regarding the usual operations in mines,

ii) a set of Software tools able to integrate heterogeneous source of data and,

iii) a list of smart services able to provide extended benefits to the mining ecosystem, that will be defined from the end-users needs (mine entities in the project consortium) and validated in real use cases.

Worldsensing role

Worldsensing participates in AMICOS as key Industry and technology provider of operational intelligence solutions to the mining industry. As main tasks in the project, Worldsensing will:

→ provide its Internet of Things (IoT) based wireless sensor technology (low-power devices Loadsensing) and real-time software solutions.

→ define the architectural requirements of hardware IoT products, software applications and an operational platform for the different usage scenarios.

→ contribute to the integration process of all the innovative components developed by the project into a Decision Support System (DSS) Platform for Mining Plants based on autonomous monitoring and control systems.

→ lead the execution of the field tests in the real-world environment selected use cases and validate the proposed solution from the technical and business point of view.

→ construct a reliable commercialization launch plan and coordinate the execution of the market introduction of the outcomes throughout and after the project completion.

This activity has received funding from the European Institute of Innovation and Technology (EIT), a body of the European Union, under the Horizon 2020, the EU Framework Programme for Research and Innovation.