Improved efficiency of industrial processes through the use of private 5G networks

Aingura insights

Preprocessing Preprocessing
Transformation Transformation
Data Acquisition Data Acquisition

Sectors

Industry Industry

Applications

Condition Monitoring Condition Monitoring

impact

  • A global improvement of 5% to 10% in the final cost of the finished product has been achieved in processes involving this platform.
  • There is an increase in machine availability in production by 4% to 5%.

Developed AI Technologies

Synchronization of machine learning AI algorithms executed on different nodes through wireless networks.

Challenges

  • Enable ubiquitous installation of Aingura Insights devices on all machines where efficiency improvement is expected, without additional network installation costs.
  • Facilitate the interconnection of previously independent subprocesses to improve overall process efficiency.
  • Enable remote access to data from "smart" machines to provide support and evolve them.

results

The literature discusses extensively the impact of 5G and its derived technologies on Industry 4.0. 5G emerges as a key technology promising to underpin future business models. Aingura has focused on the practical application of this promising technology and has already achieved its first results through the implementation of a 5G-based Mobile Private Network (MPN) in the facilities of a company within its group of companies (Inzu Group):

  • Improvement of production process efficiency by connecting different distant processes, applying widespread and massive software or configuration updates.
  • Reduction of maintenance costs for process systems, enabling quality systems to inspect a higher volume of produced items, and facilitating the management of different segments of the infrastructure.
  • Generation of new services that allow configuring, monitoring, and adapting existing or ad-hoc deployed private network management policies.

The use of a 5G-SA (Stand Alone) private network has enabled the interconnection of machines, objects, and devices with high levels of performance and efficiency, primarily impacting process automation, operations control, and maintenance areas. It allows continuous data collection and analysis throughout the entire production chain, including high-value-added products produced.

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