S piškotki izboljšujemo vašo uporabniško izkušnjo. Z uporabo naših storitev se strinjate z uporabo piškotkov. V redu Piškotki, ki jih uporabljamo Kaj so piškotki?

One step closer to the Smart Factories of the Future


Innovative enterprise IRNAS, developer of smart Internet of Things (IoT) solutions for industrial applications, and high-tech enterprise Bourns, a leading manufacturer of overvoltage protective and EMI suppression components, joined forces under the project Advanced sensor systems, data analysis and machine learning for the development of cost-effective hybrid varistor electronic components with improved thermal stability – NextGenHVEC to stimulate the development and advance the manufacturing process by utilizing smart data collection and machine learning technologies. 

Knowledge and efficient use of production parameters and environmental data can be of crucial importance for any production line or industrial plant, as they can help maximize production output and efficiency without additional costs or resources. Moreover, when used and analysed correctly, collected data can unravel hidden patterns and reasons for low quality, faulty produce and sub-optimal performance that would otherwise remain undetected due to a complex interaction of many factors. Still, the main obstacle for a successful roll-out of data collection and machine learning in the industry sector is the large amount of resulting data which cannot yield the desired results leading to additional costs if not analysed or interpreted properly.

The main goal of the project is to improve the thermal stability of hybrid electronic systems and components (varistors and capacitors) through the development of new cutting-edge materials and improved manufacturing practices. Implementation of a smart sensor system, data collection and analysis, prediction models and machine learning algorithms for forecasting varistor performance represent a vital component of the project paving the way towards optimizing and achieving the set project objectives. 

While the overall aim of using machine learning technologies to accelerate the development of a new generation of electronic components with superior thermal performance, the effects of the project are expected to be more far-reaching and to have a positive impact on the whole manufacturing process leading to improvement in quality and productivity. Implemented advancements in data monitoring and analysis are in line with Industry 4.0 agenda which seeks to digitalize the production line, create added value by deploying smart technology solutions, and move one step closer to a full Smart Factory implementation.

Beneficiary: Bourns, developer, manufacturer and supplier of electronic components and partners

Programme: Operational Programme for the Implementation of the European Cohesion Policy in the Period 2014-2020

Fund: European Regional Development Fund

Total project funding:  EUR 1,682,494.00

EU contribution: EUR 1,345,995.20

 Photo and source: beneficiary