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industrial automation

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industrial automation

future of industrial automation

Industry 5.0, also known as the Fifth Industrial Revolution, is poised to revolutionize various sectors, including manufacturing and healthcare, in the coming decade. This transformation has the potential to generate trillions of dollars in value. Central to this evolution is the foundation laid by Industry 4.0 in the previous decade. Industry 5.0 aims to achieve seamless integration of all industrial components, harnessing technologies such as IoT, cyber-physical systems, big data processing, and artificial intelligence. Its goal is to prepare industries for future digital challenges and opportunities, with a special emphasis on enhancing human-machine interactions and promoting social sustainability.
hec

What is HEC and its Impact on Industry 5.0?

Hybrid Edge Cloud (HEC) addresses central cloud infrastructure limitations by providing devices and machines with critical central cloud features, ensuring greater autonomy. This improves performance, efficiency, data management, privacy, and eco-sustainability, all of which are key pillars of Industry 5.0.

challenge/solution

industrial automation

challenge

The existing centralized cloud architecture, primarily designed for human communication, faces challenges in accommodating the growing number of people and autonomous machines in various use cases. This architecture is heavily centralized and lacks autonomy, resulting in significant inefficiencies, latency issues, privacy, and security concerns, as well as high costs when relying on central cloud severs or edge gateways. To address these limitations, we require a novel architectural approach that leverages the advantages of central cloud infrastructure while also striking a balance between the autonomy and offline capabilities required for both humans and machines.
industrial automation

solution

Hybrid Edge Cloud (HEC) addresses central cloud infrastructure limitations by providing devices and machines with critical central cloud features, ensuring greater autonomy. This improves performance, efficiency, data management, privacy, and eco-sustainability, all of which are key pillars of Industry 5.0.
challenge
solution

make intelligent industrial automation

HEC and AI

In Industry 5.0, AI plays a pivotal role in optimizing operations and improving decision-making. Hybrid Edge Cloud (HEC) unlocks the full potential of AI by deploying specialized models right on device, enabling real-time autonomous decision-making. HEC enables valuable insights are promptly acted upon, thereby maximizing the impact of AI.

Interoperability

HEC provides a standardized platform that fosters interoperability among various devices and systems without requiring significant protocol modifications. This versatility enables diverse compute nodes to enhance interoperability by allowing devices to expose APIs, host microservices, and establish a service mesh with other devices and the central cloud.

Decentralized decisions

HEC empowers decentralized decision-making as devices can autonomously process local data and make context-aware choices, reducing reliance on centralized cloud resources. This capability boosts adaptability and safety, enabling immediate responses in scenarios like quality control or safety concerns.

Technical assistance

HEC boosts device efficiency by providing local technical support and data analysis for quick problem identification and autonomous guidance. It enhances manufacturing productivity and enables predictive maintenance for proactive issue resolution, minimizing downtime.

 

Information Transparency

HEC elevates information transparency through real-time data access and decision-making across numerous industrial applications. By analyzing locally generated edge data, it enhances visibility into machine operations and decision processes, while its decentralization facilitates rapid information sharing among devices and systems.

Benefits of HEC in Industry 5.0

  • Reduced development time and costs.
  • Lower cloud hosting and management expenses.
  • Minimized communication latency.
  • Faster application response times.
  • Enhanced data privacy.
  • Local data analysis for knowledge exchange.
  • Efficient use of data centers and edge resources.
  • Reduced bandwidth and energy consumption.
  • Seamless connection of machines, people, and systems.
  • Enabling AI model execution on heterogenous devices.
  • Integration of IT and OT at the application level.
hec

FAQ

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  • do i have to pay for yearly revenue?

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