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Cyber-Physical Systems (CPS) and the 5C Architecture in Industry 4.0

Technical analysis of the fusion between the physical and digital worlds, and how the 5-level architecture enables cognitive understanding and self-configuration of machines.

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By Adanson armando Silva Asencios Torres
5 Min Read
Mar 27, 2026
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Cyber-Physical Systems (CPS) and the 5C Architecture in Industry 4.0

Cyber-Physical Production Systems (CPPS): The Future of Industrial Efficiency

Within the framework of Industry 4.0, the key concept for managing complexity and reducing vulnerability is the Cyber-Physical System (CPS) . This involves merging the physical world with its digital representation, capturing the conditions of the machine, the environment, and the entire system.

Edgemant's 5C Architecture

To achieve cognitive understanding where machines comprehend the why, how, and what of their operation, we implemented a 5-level architecture:

  1. Smart Connection Level: Acquisition of data from controllers, sensors and management systems (ERP/MES/SCM) at a single established point of truth.

  2. Data-To-Information Conversion: Transforms raw data into valuable information about the condition and remaining useful life of equipment, bringing self-awareness to machines.

  3. Cyber Level: The central point where all information flows. It uses similarities between current and historical data to predict the future behavior of monitored assets.

  4. Cognition Level: Level at which strategic decisions are made about maintenance actions based on the priority of tasks and manufacturing processes.

  5. Configuration Level: Provides feedback from cyberspace to physical space. Enables machines to self-configure and self-adapt through supervisory control commands.

Overcoming Traditional Barriers

Historically, the industry has relied on either rule-based or data-driven models. Edgemant's AI Agents break down these barriers with three unique capabilities:

  1. Ability to learn from current expert knowledge.

  2. Ability to discover new knowledge through data analysis.

  3. Ability to orchestrate that specific knowledge through automated workflows.

The result is a system that guarantees continuity of operation by combining data and expert knowledge, reducing maintenance costs and eliminating unplanned downtime.


📞 Ready to take the next step?

Contact us to schedule a demo and/or a visit.

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Adanson armando Silva Asencios Torres

Author & Contributor at EdgeMant AI. Focused on industrial automation, predictive maintenance, and edge computing technologies.