Challenging environments tolerant Smart systems for IoT and AI
Sector: Broadband • Location: Finland, Austria, Belgium, Switzerland, Czechia, Germany, Italy, Latvia, Netherlands, Poland
Source: EU Funding & Tenders Portal
Digitalization has been identified as one of the key enablers for renewal and competitiveness of European manufacturing industries. However, grasping the digitalization and IoT-related opportunities can be limited by the harsh environmental conditions of the manufacturing processes and end use environments. The ECSEL-IA 2019 project initiative CHARM aims to contribute to solving this problem by de
- Status
- Closed
- Sector
- Broadband, Power Generation (CCGT), Nuclear, Solar, Forest Products and Packaging, Electric Vehicles (EVs), Automotive, Manufacturing (Industrial), Advanced Electronics, Telecommunications
- Location
- Finland, Austria, Belgium, Switzerland, Czechia, Germany, Italy, Latvia, Netherlands, Poland
- Updated
- 22 Jul 2026
- Source
- EU Funding & Tenders Portal
ConstructChat
Ask ConstructChat about Challenging environments tolerant Smart systems for IoT and AI
Pick a question to edit it, or write your own.
First answer free · no account
Project Information FAQ
Project Information
Participants
| Not available for this record. |
Status
Original status | ended |
Taiyo status | Closed |
Taiyo last update | 2026-07-22 |
Contact
| Not available for this record. |
Description
Description | Digitalization has been identified as one of the key enablers for renewal and competitiveness of European manufacturing industries. However, grasping the digitalization and IoT-related opportunities can be limited by the harsh environmental conditions of the manufacturing processes and end use environments. The ECSEL-IA 2019 project initiative CHARM aims to contribute to solving this problem by developing ECS technologies that tolerate harsh industrial environments. The project concept centres around real industrial challenges from different types of end use industries. The synergies and impacts arise from similarities in technology solutions serving different applications and industry sectors. The CHARM Use Cases include six different industry sectors, majority of them presented by innovative cutting-edge large enterprises that belong to the world-wide market leaders of their own sectors – while most of them being new to the ECSEL ecosystem: mining (Sandvik Mining and Construction Oy, FI), paper mills (Valmet Technologies Oy, FI), machining (Tornos SA, CH), solar panel manufacturing lines (Applied Materials Italia SRL, IT), nuclear power plants maintenance and decommissioning (ÚJV Řež a.s., CZ), and professional digital printing (Océ-Technologies B.V, NL). The planned demonstrators engage these big players with European ECS value chains and showcase capabilities that serve manufacturing industries’ needs at large. The new technologies to be developed include novel multi-gas sensors, robust high temperature and pressure sensors, flexible sensors for paper machine rolls, wireless power transfer systems, connectivity solutions for rotating parts, advanced vision systems, and enablers for autonomous driving. The project consortium includes 12 SMEs, 14 LEs and 12 RTOs, and covers the industrial value chains from simulations, sensors and components to packaging, integration and reliability as well as connectivity, cloud and cyber security solutions. |
Location
Country | Finland, Austria, Belgium, Switzerland, Czechia, Germany, Italy, Latvia, Netherlands, Poland |
Source
Source | EU Funding & Tenders Portal |
URL |
More Details
Record type | Project |
Sector | Broadband, Power Generation (CCGT), Nuclear, Solar, Forest Products and Packaging, Electric Vehicles (EVs), Automotive, Manufacturing (Industrial), Advanced Electronics, Telecommunications |
Article published date | 2026-02-15 |
Research
Free account
View all details
You are reading the public part. A free account opens the rest:
- Every detail on this project
- News and media coverage
- Technical research
Free account · no card · lands you back on this project
